Jonathan P. How

546 papers A* 73A 42B 1C 85Misc 2Journal 286Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Controlled Flight of an Insect-Scale Flapping-Wing Robot via Integrated Onboard Sensing and Computation. CoRR Yi-Hsuan Hsiao, Quang Phuc Kieu, Zhongtao Guan, Suhan Kim, Jiaze Cai, Owen Matteson, Jonathan P. How, Elizabeth Farrell Helbling, YuFeng Chen
2026	J	`jnl`	GRAM: Generalization in Deep RL With a Robust Adaptation Module. IEEE Robotics Autom. Lett. James Queeney, Xiaoyi Cai, Alexander Schperberg, Radu Corcodel, Mouhacine Benosman, Jonathan P. How
2026	J	`jnl`	GUARDIAN: Safety Filtering for Systems with Perception Models Subject to Adversarial Attacks. CoRR Nicholas Rober, Alex Rose, Jonathan P. How
2026	J	`jnl`	Overlapping Domain Decomposition for Distributed Pose Graph Optimization. CoRR Aneesa Sonawalla, Yulun Tian, Jonathan P. How
2026	J	`jnl`	Robust Dynamic Object Detection in Cluttered Indoor Scenes via Learned Spatiotemporal Cues. CoRR Juan Rached, Yixuan Jia, Kota Kondo, Jonathan P. How
2026	J	`jnl`	VISTA: Monocular Segmentation-Based Mapping for Appearance and View-Invariant Global Localization. IEEE Robotics Autom. Lett. Hannah Shafferman, Annika Thomas, Jouko Kinnari, Michael Ricard, Jose Nino, Jonathan P. How
2025	J	`jnl`	ABAMGuid+: An Enhanced Aerocapture Guidance Framework using Augmented Bank Angle Modulation. CoRR Kyle Sonandres, Thomas Palazzo, Jonathan P. How
2025	—	`conf`	Advancing AI Challenges for the United States Department of the Air Force HPEC Christian Prothmann, Vijay Gadepally, Jeremy Kepner, Koley Borchard, Luca Carlone, Zachary Folcik, J. Daniel Griffith, Michael Houle, Jonathan P. How, Nathan Hughes, Ifueko Igbinedion, Hayden Jananthan, Tejas Jayashankar, Michael Jones, Sertac Karaman, Binoy G. Kurien, Alejandro Lancho, Giovanni Lavezzi, Gary C. F. Lee, Charles E. Leiserson, Richard Linares, Lindsey McEvoy, Peter Michaleas, Chasen Milner, Alex Pentland, Yury Polyanskiy, Jovan Popovich, Jeffrey Price, Tim W. Reid, Stephanie Riley, Siddharth Samsi, Peter Saunders, Olga Simek, Mark S. Veillette, Amir Weiss, Gregory W. Wornell, Daniela Rus, Scott T. Ruppel
2025	J	`jnl`	Advancing AI Challenges for the United States Department of the Air Force. CoRR Christian Prothmann, Vijay Gadepally, Jeremy Kepner, Koley Borchard, Luca Carlone, Zachary Folcik, J. Daniel Griffith, Michael Houle, Jonathan P. How, Nathan Hughes, Ifueko Igbinedion, Hayden Jananthan, Tejas Jayashankar, Michael Jones, Sertac Karaman, Binoy G. Kurien, Alejandro Lancho, Giovanni Lavezzi, Gary C. F. Lee, Charles E. Leiserson, Richard Linares, Lindsey McEvoy, Peter Michaleas, Chasen Milner, Alex Pentland, Yury Polyanskiy, Jovan Popovich, Jeffrey Price, Tim W. Reid, Stephanie Riley, Siddharth Samsi, Peter Saunders, Olga Simek, Mark S. Veillette, Amir Weiss, Gregory W. Wornell, Daniela Rus, Scott T. Ruppel
2025	J	`jnl`	Aerobatic maneuvers in insect-scale flapping-wing aerial robots via deep-learned robust tube model predictive control. CoRR Yi-Hsuan Hsiao, Andrea Tagliabue, Owen Matteson, Suhan Kim, Tong Zhao, Jonathan P. How, YuFeng Chen
2025	C	`conf`	Aerocapture Guidance for Augmented Bank Angle Modulation. ACC Kyle Sonandres, Thomas Palazzo, Jonathan P. How
2025	J	`jnl`	Aerocapture Guidance for Augmented Bank Angle Modulation. CoRR Kyle Sonandres, Thomas Palazzo, Jonathan P. How
2025	J	`jnl`	CU-Multi: A Dataset for Multi-Robot Collaborative Perception. CoRR Doncey Albin, Daniel McGann, Miles Mena, Annika Thomas, Harel Biggie, Xuefei Sun, Steve McGuire, Jonathan P. How, Christoffer Heckman
2025	J	`jnl`	DYNUS: Uncertainty-aware Trajectory Planner in Dynamic Unknown Environments. CoRR Kota Kondo, Mason B. Peterson, Nicholas Rober, Juan Rached Viso, Lucas Jia, Jialin Chen, Harvey Merton, Jonathan P. How
2025	J	`jnl`	Distribution Estimation for Global Data Association via Approximate Bayesian Inference. CoRR Yi Xuan Jia, Mason B. Peterson, Qingyuan Li, Yulun Tian, Jonathan P. How
2025	J	`jnl`	Efficient Navigation in Unknown Indoor Environments with Vision-Language Models. CoRR D. Schwartz, Kota Kondo, Jonathan P. How
2025	J	`jnl`	Efficient Probabilistic Planning with Maximum-Coverage Distributionally Robust Backward Reachable Trees. CoRR Alex Rose, Naman Aggarwal, Christopher Jewison, Jonathan P. How
2025	J	`jnl`	GRAND-SLAM: Local Optimization for Globally Consistent Large-Scale Multi-Agent Gaussian SLAM. CoRR Annika Thomas, Aneesa Sonawalla, Alex Rose, Jonathan P. How
2025	J	`jnl`	GRAND-SLAM: Local Optimization for Globally Consistent Large-Scale Multi-Agent Gaussian SLAM. IEEE Robotics Autom. Lett. Annika Thomas, Aneesa Sonawalla, Alex Rose, Jonathan P. How
2025	J	`jnl`	Language-Grounded Hierarchical Planning and Execution with Multi-Robot 3D Scene Graphs. CoRR Jared Strader, Aaron Ray, Jacob Arkin, Mason B. Peterson, Yun Chang, Nathan Hughes, Christopher Bradley, Yi Xuan Jia, Carlos Nieto-Granda, Rajat Talak, Chuchu Fan, Luca Carlone, Jonathan P. How, Nicholas Roy
2025	J	`jnl`	LunarLoc: Segment-Based Global Localization on the Moon. CoRR Annika Thomas, Robaire Galliath, Aleksander Garbuz, Luke Anger, Cormac O'Neill, Trevor Johst, Dami Thomas, George Lordos, Jonathan P. How
2025	J	`jnl`	MIGHTY: Hermite Spline-based Efficient Trajectory Planning. CoRR Kota Kondo, Yuwei Wu, Vijay Kumar, Jonathan P. How
2025	J	`jnl`	Navigation Around Unknown Space Objects Using Visible-Thermal Image Fusion. CoRR Eric J. Elias, Michael Esswein, Jonathan P. How, David W. Miller
2025	J	`jnl`	Off-Road Navigation via Implicit Neural Representation of Terrain Traversability. CoRR Yixuan Jia, Qingyuan Li, Jonathan P. How
2025	J	`jnl`	PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain. IEEE Robotics Autom. Lett. Xiaoyi Cai, James Queeney, Tong Xu, Aniket Datar, Chenhui Pan, Max Miller, Ashton Flather, Philip R. Osteen, Nicholas Roy, Xuesu Xiao, Jonathan P. How
2025	A*	`conf`	PRIMER: Perception-Aware Robust Learning-Based Multiagent Trajectory Planner. ICRA Kota Kondo, Claudius T. Tewari, Andrea Tagliabue, Jesus Tordesillas, Parker C. Lusk, Mason B. Peterson, Jonathan P. How
2025	J	`jnl`	Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. ACM Trans. Hum. Robot Interact. Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martín-Martín
2025	C	`conf`	REVISE: Robust Probabilistic Motion Planning in a Gaussian Random Field. ACC Alex Rose, Naman Aggarwal, Christopher Jewison, Jonathan P. How
2025	J	`jnl`	SDP Synthesis of Distributionally Robust Backward Reachable Trees for Probabilistic Planning. IEEE Trans. Autom. Control. Naman Aggarwal, Jonathan P. How
2025	J	`jnl`	Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis. IEEE Trans. Control. Syst. Technol. Karan Mahesh, Tyler M. Paine, Max L. Greene, Nicholas Rober, Steven Lee, Sildomar T. Monteiro, Anuradha Annaswamy, Michael R. Benjamin, Jonathan P. How
2025	A*	`conf`	TCAFF: Temporal Consistency for Robot Frame Alignment. ICRA Mason B. Peterson, Parker C. Lusk, Antonio Avila, Jonathan P. How
2025	J	`jnl`	Terrain-aware Low Altitude Path Planning. CoRR Yixuan Jia, Andrea Tagliabue, Navid Dadkhah Tehrani, Jonathan P. How
2025	J	`jnl`	Uncertainty-Aware Multi-Robot Task Allocation With Strongly Coupled Inter-Robot Rewards. CoRR Ben Rossano, Jaein Lim, Jonathan P. How
2025	J	`jnl`	VISTA: Monocular Segmentation-Based Mapping for Appearance and View-Invariant Global Localization. CoRR Hannah Shafferman, Annika Thomas, Jouko Kinnari, Michael Ricard, Jose Nino, Jonathan P. How
2024	J	`jnl`	A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri
2024	J	`jnl`	An Overview of the Burer-Monteiro Method for Certifiable Robot Perception. CoRR Alan Papalia, Yulun Tian, David M. Rosen, Jonathan P. How, John J. Leonard
2024	J	`jnl`	CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning. CoRR Kota Kondo, Andrea Tagliabue, Xiaoyi Cai, Claudius T. Tewari, Olivia Garcia, Marcos Espitia-Alvarez, Jonathan P. How
2024	J	`jnl`	CLIPPER: Robust Data Association Without an Initial Guess. IEEE Robotics Autom. Lett. Parker C. Lusk, Jonathan P. How
2024	J	`jnl`	CLIPPER: Robust Data Association without an Initial Guess. CoRR Parker C. Lusk, Jonathan P. How
2024	J	`jnl`	Certifiably Correct Range-Aided SLAM. IEEE Trans. Robotics Alan Papalia, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard
2024	J	`jnl`	Constraint-Aware Refinement for Safety Verification of Neural Feedback Loops. CoRR Nicholas Rober, Jonathan P. How
2024	J	`jnl`	Constraint-Aware Refinement for Safety Verification of Neural Feedback Loops. IEEE Control. Syst. Lett. Nicholas Rober, Jonathan P. How
2024	J	`jnl`	EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy. IEEE Trans. Robotics Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How
2024	J	`jnl`	Efficient Deep Learning of Robust Policies From MPC Using Imitation and Tube-Guided Data Augmentation. IEEE Trans. Robotics Andrea Tagliabue, Jonathan P. How
2024	J	`jnl`	Finding the optimal exploration-exploitation trade-off online through Bayesian risk estimation and minimization. Artif. Intell. Stewart Jamieson, Jonathan P. How, Yogesh A. Girdhar
2024	J	`jnl`	GRAM: Generalization in Deep RL with a Robust Adaptation Module. CoRR James Queeney, Xiaoyi Cai, Mouhacine Benosman, Jonathan P. How
2024	A	`conf`	Look Before You Leap: Socially Acceptable High-Speed Ground Robot Navigation in Crowded Hallways. IROS Lakshay Sharma, Nicolaniello Buono, Ashton Flather, Xiaoyi Cai, Jonathan P. How
2024	J	`jnl`	Look Before You Leap: Socially Acceptable High-Speed Ground Robot Navigation in Crowded Hallways. CoRR Lakshay Sharma, Jonathan P. How
2024	J	`jnl`	MOTLEE: Collaborative Multi-Object Tracking Using Temporal Consistency for Neighboring Robot Frame Alignment. CoRR Mason B. Peterson, Parker C. Lusk, Antonio Avila, Jonathan P. How
2024	J	`jnl`	MURP: Multi-Agent Ultra-Wideband Relative Pose Estimation With Constrained Communications in 3D Environments. IEEE Robotics Autom. Lett. Andrew Fishberg, Brian J. Quiter, Jonathan P. How
2024	A*	`conf`	Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. ICRA Nicholas Rober, Karan Mahesh, Tyler M. Paine, Max L. Greene, Steven Lee, Sildomar T. Monteiro, Michael R. Benjamin, Jonathan P. How
2024	J	`jnl`	Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows. CoRR Minjae Cho, Jonathan P. How, Chuangchuang Sun
2024	J	`jnl`	PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain. CoRR Xiaoyi Cai, James Queeney, Tong Xu, Aniket Datar, Chenhui Pan, Max Miller, Ashton Flather, Philip R. Osteen, Nicholas Roy, Xuesu Xiao, Jonathan P. How
2024	J	`jnl`	PRIMER: Perception-Aware Robust Learning-based Multiagent Trajectory Planner. CoRR Kota Kondo, Claudius T. Tewari, Andrea Tagliabue, Jesus Tordesillas, Parker C. Lusk, Jonathan P. How
2024	A*	`conf`	PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment. ICRA Kota Kondo, Claudius T. Tewari, Mason B. Peterson, Annika Thomas, Jouko Kinnari, Andrea Tagliabue, Jonathan P. How
2024	—	`conf`	REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots. CDC Andrea Tagliabue, Kota Kondo, Tong Zhao, Mason B. Peterson, Claudius T. Tewari, Jonathan P. How
2024	J	`jnl`	REVISE: Robust Probabilistic Motion Planning in a Gaussian Random Field. CoRR Alex Rose, Naman Aggarwal, Christopher Jewison, Jonathan P. How
2024	J	`jnl`	ROMAN: Open-Set Object Map Alignment for Robust View-Invariant Global Localization. CoRR Mason B. Peterson, Yi Xuan Jia, Yulun Tian, Annika Thomas, Jonathan P. How
2024	J	`jnl`	Robust MADER: Decentralized Multiagent Trajectory Planner Robust to Communication Delay in Dynamic Environments. IEEE Robotics Autom. Lett. Kota Kondo, Reinaldo Figueroa, Juan Rached, Jesus Tordesillas, Parker C. Lusk, Jonathan P. How
2024	J	`jnl`	SDP Synthesis of Distributionally Robust Backward Reachable Trees for Probabilistic Planning. CoRR Naman Aggarwal, Jonathan P. How
2024	—	`conf`	SDP Synthesis of Maximum Coverage Trees for Probabilistic Planning under Control Constraints. CDC Naman Aggarwal, Jonathan P. How
2024	J	`jnl`	SDP Synthesis of Maximum Coverage Trees for Probabilistic Planning under Control Constraints. CoRR Naman Aggarwal, Jonathan P. How
2024	A	`conf`	SOS-Match: Segmentation for Open-Set Robust Correspondence Search and Robot Localization in Unstructured Environments. IROS Annika Thomas, Jouko Kinnari, Parker C. Lusk, Kota Kondo, Jonathan P. How
2024	J	`jnl`	SOS-SLAM: Segmentation for Open-Set SLAM in Unstructured Environments. CoRR Jouko Kinnari, Annika Thomas, Parker C. Lusk, Kota Kondo, Jonathan P. How
2024	J	`jnl`	Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis. CoRR Karan Mahesh, Tyler M. Paine, Max L. Greene, Nicholas Rober, Steven Lee, Sildomar T. Monteiro, Anuradha Annaswamy, Michael R. Benjamin, Jonathan P. How
2024	J	`jnl`	Spectral Sparsification for Communication-Efficient Collaborative Rotation and Translation Estimation. IEEE Trans. Robotics Yulun Tian, Jonathan P. How
2024	J	`jnl`	Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies From MPC via Tube-Guided Data Augmentation and NeRFs. IEEE Robotics Autom. Lett. Andrea Tagliabue, Jonathan P. How
2023	J	`jnl`	A Forward Reachability Perspective on Robust Control Invariance and Discount Factors in Reachability Analysis. CoRR Jason J. Choi, Donggun Lee, Boyang Li, Jonathan P. How, Koushil Sreenath, Sylvia L. Herbert, Claire J. Tomlin
2023	C	`conf`	A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. ACC Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How
2023	J	`jnl`	Certifiably Correct Range-Aided SLAM. CoRR Alan Papalia, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard
2023	J	`jnl`	Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments. IEEE Robotics Autom. Lett. Jesus Tordesillas, Jonathan P. How
2023	A*	`conf`	DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning Methods. ICRA Stewart Jamieson, Jonathan P. How, Yogesh A. Girdhar
2023	J	`jnl`	DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning Methods. CoRR Stewart Jamieson, Jonathan P. How, Yogesh A. Girdhar
2023	J	`jnl`	EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy. CoRR Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How
2023	J	`jnl`	Efficient Deep Learning of Robust Policies from MPC using Imitation and Tube-Guided Data Augmentation. CoRR Andrea Tagliabue, Jonathan P. How
2023	A	`conf`	Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation. IROS Tong Zhao, Andrea Tagliabue, Jonathan P. How
2023	J	`jnl`	Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation. CoRR Tong Zhao, Andrea Tagliabue, Jonathan P. How
2023	J	`jnl`	Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams. IEEE Trans. Robotics Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How
2023	A	`conf`	Global Localization in Unstructured Environments Using Semantic Object Maps Built from Various Viewpoints. IROS Jacqueline Ankenbauer, Parker C. Lusk, Annika Thomas, Jonathan P. How
2023	J	`jnl`	Global Localization in Unstructured Environments using Semantic Object Maps Built from Various Viewpoints. CoRR Jacqueline Ankenbauer, Parker C. Lusk, Jonathan P. How
2023	J	`jnl`	GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration. IEEE Robotics Autom. Lett. Parker C. Lusk, Devarth Parikh, Jonathan P. How
2023	J	`jnl`	Implicit Ensemble Training for Efficient and Robust Multiagent Reinforcement Learning. Trans. Mach. Learn. Res. Macheng Shen, Jonathan P. How
2023	J	`jnl`	Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. IEEE Trans. Robotics Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard
2023	J	`jnl`	MIXER: Multiattribute, Multiway Fusion of Uncertain Pairwise Affinities. IEEE Robotics Autom. Lett. Parker C. Lusk, Kaveh Fathian, Jonathan P. How
2023	A	`conf`	MOTLEE: Distributed Mobile Multi-Object Tracking with Localization Error Elimination. IROS Mason B. Peterson, Parker C. Lusk, Jonathan P. How
2023	J	`jnl`	MOTLEE: Distributed Mobile Multi-Object Tracking with Localization Error Elimination. CoRR Mason B. Peterson, Parker C. Lusk, Jonathan P. How
2023	J	`jnl`	MURP: Multi-Agent Ultra-Wideband Relative Pose Estimation with Constrained Communications in 3D Environments. CoRR Andrew Fishberg, Brian J. Quiter, Jonathan P. How
2023	J	`jnl`	Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. CoRR Nicholas Rober, Karan Mahesh, Tyler M. Paine, Max L. Greene, Steven Lee, Sildomar T. Monteiro, Michael R. Benjamin, Jonathan P. How
2023	J	`jnl`	PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment. CoRR Kota Kondo, Claudius T. Tewari, Mason B. Peterson, Annika Thomas, Jouko Kinnari, Andrea Tagliabue, Jonathan P. How
2023	J	`jnl`	Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin
2023	A	`conf`	Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments. IROS Xiaoyi Cai, Michael Everett, Lakshay Sharma, Philip R. Osteen, Jonathan P. How
2023	A*	`conf`	RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation. ICRA Lakshay Sharma, Michael Everett, Donggun Lee, Xiaoyi Cai, Philip R. Osteen, Jonathan P. How
2023	J	`jnl`	RAYEN: Imposition of Hard Convex Constraints on Neural Networks. CoRR Jesus Tordesillas, Jonathan P. How, Marco Hutter
2023	J	`jnl`	REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots. CoRR Andrea Tagliabue, Kota Kondo, Tong Zhao, Mason B. Peterson, Claudius T. Tewari, Jonathan P. How
2023	A	`conf`	Resilient and Distributed Multi-Robot Visual SLAM: Datasets, Experiments, and Lessons Learned. IROS Yulun Tian, Yun Chang, Long Quang, Arthur Schang, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone
2023	J	`jnl`	Resilient and Distributed Multi-Robot Visual SLAM: Datasets, Experiments, and Lessons Learned. CoRR Yulun Tian, Yun Chang, Long Quang, Arthur Schang, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone
2023	J	`jnl`	Robust MADER: Decentralized Multiagent Trajectory Planner Robust to Communication Delay in Dynamic Environments. CoRR Kota Kondo, Reinaldo Figueroa, Juan Rached, Jesus Tordesillas, Parker C. Lusk, Jonathan P. How
2023	A*	`conf`	Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay. ICRA Kota Kondo, Jesus Tordesillas, Reinaldo Figueroa, Juan Rached, Joseph Merkel, Parker C. Lusk, Jonathan P. How
2023	A*	`conf`	Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC. ICRA Andrea Tagliabue, Yi-Hsuan Hsiao, Urban Fasel, J. Nathan Kutz, Steven L. Brunton, YuFeng Chen, Jonathan P. How
2023	J	`jnl`	Surrogate Neural Networks for Efficient Simulation-based Trajectory Planning Optimization. CoRR Evelyn Ruff, Rebecca L. Russell, Matthew Stoeckle, Piero Miotto, Jonathan P. How
2023	J	`jnl`	Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies from MPC using Tube-Guided Data Augmentation and NeRFs. CoRR Andrea Tagliabue, Jonathan P. How
2023	J	`jnl`	Wide-Area Geolocalization with a Limited Field of View Camera in Challenging Urban Environments. CoRR Lena M. Downes, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How
2023	A*	`conf`	Wide-Area Geolocalization with a Limited Field of View Camera. ICRA Lena M. Downes, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How
2022	J	`jnl`	A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. CoRR Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How
2022	—	`conf`	Backward Reachability Analysis for Neural Feedback Loops. CDC Nicholas Rober, Michael Everett, Jonathan P. How
2022	J	`jnl`	Backward Reachability Analysis for Neural Feedback Loops. CoRR Nicholas Rober, Michael Everett, Jonathan P. How
2022	J	`jnl`	Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems. CoRR Nicholas Rober, Sydney M. Katz, Chelsea Sidrane, Esen Yel, Michael Everett, Mykel J. Kochenderfer, Jonathan P. How
2022	J	`jnl`	Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Michael Everett, Björn Lütjens, Jonathan P. How
2022	A	`conf`	City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent. IROS Lena M. Downes, Dong-Ki Kim, Ted J. Steiner, Jonathan P. How
2022	J	`jnl`	City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent. CoRR Lena M. Downes, Dong-Ki Kim, Ted J. Steiner, Jonathan P. How
2022	J	`jnl`	Communication-Aware Consensus-Based Decentralized Task Allocation in Communication Constrained Environments. IEEE Access Sharan Raja, Golnaz Habibi, Jonathan P. How
2022	A*	`conf`	Context-Specific Representation Abstraction for Deep Option Learning. AAAI Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How
2022	J	`jnl`	Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments. CoRR Jesus Tordesillas, Jonathan P. How
2022	A*	`conf`	Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. ICRA Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How
2022	C	`conf`	Distributed Filtering with Value of Information Censoring. ACC Miguel Calvo-Fullana, Jonathan P. How
2022	J	`jnl`	Distributed Filtering with Value of Information Censoring. CoRR Miguel Calvo-Fullana, Jonathan P. How
2022	A	`conf`	Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. IROS Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How
2022	J	`jnl`	Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. CoRR Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How
2022	J	`jnl`	Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams. CoRR Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How
2022	J	`jnl`	FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments. IEEE Trans. Robotics Jesus Tordesillas, Brett T. Lopez, Michael Everett, Jonathan P. How
2022	J	`jnl`	Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria. CoRR Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Gerald Tesauro, Jonathan P. How
2022	A	`conf`	Global Data Association for SLAM with 3D Grassmannian Manifold Objects. IROS Parker C. Lusk, Jonathan P. How
2022	J	`jnl`	Global Data Association for SLAM with 3D Grassmannian Manifold Objects. CoRR Parker C. Lusk, Jonathan P. How
2022	J	`jnl`	GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration. CoRR Parker C. Lusk, Devarth Parikh, Jonathan P. How
2022	A*	`conf`	Influencing Long-Term Behavior in Multiagent Reinforcement Learning. NeurIPS Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
2022	J	`jnl`	Influencing Long-Term Behavior in Multiagent Reinforcement Learning. CoRR Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
2022	J	`jnl`	Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems. IEEE Trans. Robotics Yulun Tian, Yun Chang, Fernando Herrera Arias, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone
2022	J	`jnl`	MADER: Trajectory Planner in Multiagent and Dynamic Environments. IEEE Trans. Robotics Jesus Tordesillas, Jonathan P. How
2022	J	`jnl`	MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves. Comput. Aided Des. Jesus Tordesillas, Jonathan P. How
2022	J	`jnl`	MIXER: Multiattribute, Multiway Fusion of Uncertain Pairwise Affinities. CoRR Parker C. Lusk, Kaveh Fathian, Jonathan P. How
2022	—	`conf`	Mission-Aware Value of Information Censoring for Distributed Filtering. CDC Miguel Calvo-Fullana, Jonathan P. How
2022	J	`jnl`	Mission-Aware Value of Information Censoring for Distributed Filtering. CoRR Miguel Calvo-Fullana, Jonathan P. How
2022	A	`conf`	Multi-Agent Relative Pose Estimation with UWB and Constrained Communications. IROS Andrew Fishberg, Jonathan P. How
2022	J	`jnl`	Multi-Agent Relative Pose Estimation with UWB and Constrained Communications. CoRR Andrew Fishberg, Jonathan P. How
2022	A	`conf`	Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning. IROS Andrea Tagliabue, Jonathan P. How
2022	J	`jnl`	Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning. CoRR Andrea Tagliabue, Jonathan P. How
2022	J	`jnl`	PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments. IEEE Access Jesus Tordesillas, Jonathan P. How
2022	J	`jnl`	Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments. CoRR Xiaoyi Cai, Michael Everett, Lakshay Sharma, Philip R. Osteen, Jonathan P. How
2022	J	`jnl`	RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation. CoRR Lakshay Sharma, Michael Everett, Donggun Lee, Xiaoyi Cai, Philip R. Osteen, Jonathan P. How
2022	A*	`conf`	ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. ICRA Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
2022	A	`conf`	Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map. IROS Xiaoyi Cai, Michael Everett, Jonathan Fink, Jonathan P. How
2022	J	`jnl`	Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map. CoRR Xiaoyi Cai, Michael Everett, Jonathan Fink, Jonathan P. How
2022	J	`jnl`	Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay. CoRR Kota Kondo, Jesus Tordesillas, Reinaldo Figueroa, Juan Rached, Joseph Merkel, Parker C. Lusk, Jonathan P. How
2022	J	`jnl`	Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC. CoRR Andrea Tagliabue, Yi-Hsuan Hsiao, Urban Fasel, J. Nathan Kutz, Steven L. Brunton, YuFeng Chen, Jonathan P. How
2022	A	`conf`	Safe adaptation in multiagent competition. IROS Macheng Shen, Jonathan P. How
2022	J	`jnl`	Safe adaptation in multiagent competition. CoRR Macheng Shen, Jonathan P. How
2022	J	`jnl`	Spectral Sparsification for Communication-Efficient Collaborative Rotation and Translation Estimation. CoRR Yulun Tian, Jonathan P. How
2022	J	`jnl`	View-Invariant Localization using Semantic Objects in Changing Environments. CoRR Jacqueline Ankenbauer, Kaveh Fathian, Jonathan P. How
2022	J	`jnl`	Wide-Area Geolocalization with a Limited Field of View Camera. CoRR Lena M. Downes, Ted J. Steiner, Rebecca L. Russell, Jonathan P. How
2021	A*	`conf`	A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. ICML Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
2021	J	`jnl`	A resource-aware approach to collaborative loop-closure detection with provable performance guarantees. Int. J. Robotics Res. Yulun Tian, Kasra Khosoussi, Jonathan P. How
2021	A*	`conf`	Airflow-Inertial Odometry for Resilient State Estimation on Multirotors. ICRA Andrea Tagliabue, Jonathan P. How
2021	J	`jnl`	Airflow-Inertial Odometry for Resilient State Estimation on Multirotors. CoRR Andrea Tagliabue, Jonathan P. How
2021	A*	`conf`	CLIPPER: A Graph-Theoretic Framework for Robust Data Association. ICRA Parker C. Lusk, Kaveh Fathian, Jonathan P. How
2021	J	`jnl`	Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning. IEEE Access Michael Everett, Yu Fan Chen, Jonathan P. How
2021	J	`jnl`	Context-Specific Representation Abstraction for Deep Option Learning. CoRR Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How
2021	C	`conf`	Cooperative Model-Based Reinforcement Learning for Approximate Optimal Tracking. ACC Max L. Greene, Zachary I. Bell, Scott A. Nivison, Jonathan P. How, Warren E. Dixon
2021	J	`jnl`	Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. CoRR Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How
2021	J	`jnl`	Distributed Certifiably Correct Pose-Graph Optimization. IEEE Trans. Robotics Yulun Tian, Kasra Khosoussi, David M. Rosen, Jonathan P. How
2021	A*	`conf`	Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers. ICRA Michael Everett, Golnaz Habibi, Jonathan P. How
2021	J	`jnl`	Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers. CoRR Michael Everett, Golnaz Habibi, Jonathan P. How
2021	A*	`conf`	FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimizer. ICRA Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
2021	J	`jnl`	Human Trajectory Prediction Using Similarity-Based Multi-Model Fusion. IEEE Robotics Autom. Lett. Golnaz Habibi, Jonathan P. How
2021	J	`jnl`	Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems. CoRR Yulun Tian, Yun Chang, Fernando Herrera Arias, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone
2021	A*	`conf`	Kimera-Multi: a System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping. ICRA Yun Chang, Yulun Tian, Jonathan P. How, Luca Carlone
2021	J	`jnl`	LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments. CoRR Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai, Angel Santamaria-Navarro, Jonathan P. How, Luca Carlone, Ali-Akbar Agha-Mohammadi
2021	J	`jnl`	MIXER: A Principled Framework for Multimodal, Multiway Data Association. CoRR Parker C. Lusk, Ronak Roy, Kaveh Fathian, Jonathan P. How
2021	A*	`conf`	Multi-Robot Distributed Semantic Mapping in Unfamiliar Environments through Online Matching of Learned Representations. ICRA Stewart Jamieson, Kaveh Fathian, Kasra Khosoussi, Jonathan P. How, Yogesh A. Girdhar
2021	J	`jnl`	Multi-Robot Distributed Semantic Mapping in Unfamiliar Environments through Online Matching of Learned Representations. CoRR Stewart Jamieson, Kaveh Fathian, Kasra Khosoussi, Jonathan P. How, Yogesh A. Girdhar
2021	A*	`conf`	NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. ICRA Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard
2021	J	`jnl`	NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. CoRR Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard
2021	J	`jnl`	Neural Network Approach to Crater Detection for Lunar Terrain Relative Navigation. J. Aerosp. Inf. Syst. Lena M. Downes, Ted J. Steiner, Jonathan P. How
2021	A*	`conf`	Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. ICRA Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How
2021	J	`jnl`	Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. CoRR Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How
2021	J	`jnl`	Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. CoRR Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard
2021	J	`jnl`	PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments. CoRR Jesus Tordesillas, Jonathan P. How
2021	J	`jnl`	ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. CoRR Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
2021	J	`jnl`	Reachability Analysis of Neural Feedback Loops. IEEE Access Michael Everett, Golnaz Habibi, Chuangchuang Sun, Jonathan P. How
2021	J	`jnl`	Reachability Analysis of Neural Feedback Loops. CoRR Michael Everett, Golnaz Habibi, Chuangchuang Sun, Jonathan P. How
2021	J	`jnl`	Robust Adaptive Control Barrier Functions: An Adaptive and Data-Driven Approach to Safety. IEEE Control. Syst. Lett. Brett T. Lopez, Jean-Jacques E. Slotine, Jonathan P. How
2021	A*	`conf`	Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning. ICAPS Macheng Shen, Jonathan P. How
2021	J	`jnl`	Robustness Analysis of Neural Networks via Efficient Partitioning With Applications in Control Systems. IEEE Control. Syst. Lett. Michael Everett, Golnaz Habibi, Jonathan P. How
2021	C	`conf`	Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems. ACC Michael Everett, Golnaz Habibi, Jonathan P. How
2021	J	`jnl`	Where to go Next: Learning a Subgoal Recommendation Policy for Navigation in Dynamic Environments. IEEE Robotics Autom. Lett. Bruno Brito, Michael Everett, Jonathan P. How, Javier Alonso-Mora
2021	J	`jnl`	Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians. CoRR Bruno Brito, Michael Everett, Jonathan P. How, Javier Alonso-Mora
2020	J	`jnl`	A Distributed Pipeline for Scalable, Deconflicted Formation Flying. CoRR Parker C. Lusk, Xiaoyi Cai, Samir Wadhwania, Aleix Paris, Kaveh Fathian, Jonathan P. How
2020	J	`jnl`	A Distributed Pipeline for Scalable, Deconflicted Formation Flying. IEEE Robotics Autom. Lett. Parker C. Lusk, Xiaoyi Cai, Samir Wadhwania, Aleix Paris, Kaveh Fathian, Jonathan P. How
2020	J	`jnl`	A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. CoRR Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
2020	A	`conf`	A Whisker-inspired Fin Sensor for Multi-directional Airflow Sensing. IROS Suhan Kim, Regan Kubicek, Aleix Paris, Andrea Tagliabue, Jonathan P. How, Sarah Bergbreiter
2020	A*	`conf`	Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments. ICRA Stewart Jamieson, Jonathan P. How, Yogesh A. Girdhar
2020	J	`jnl`	Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments. CoRR Stewart Jamieson, Jonathan P. How, Yogesh A. Girdhar
2020	J	`jnl`	Adaptive Safety for Uncertain Nonlinear Systems with Control Barrier Functions and Contraction Metrics. CoRR Brett T. Lopez, Jean-Jacques E. Slotine, Jonathan P. How
2020	J	`jnl`	Asynchronous and Parallel Distributed Pose Graph Optimization. CoRR Yulun Tian, Alec Koppel, Amrit Singh Bedi, Jonathan P. How
2020	J	`jnl`	Asynchronous and Parallel Distributed Pose Graph Optimization. IEEE Robotics Autom. Lett. Yulun Tian, Alec Koppel, Amrit Singh Bedi, Jonathan P. How
2020	J	`jnl`	CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multiview Data Association. IEEE Trans. Robotics Kaveh Fathian, Kasra Khosoussi, Yulun Tian, Parker C. Lusk, Jonathan P. How
2020	J	`jnl`	CLIPPER: A Graph-Theoretic Framework for Robust Data Association. CoRR Parker C. Lusk, Kaveh Fathian, Jonathan P. How
2020	J	`jnl`	Certified Adversarial Robustness for Deep Reinforcement Learning. CoRR Michael Everett, Björn Lütjens, Jonathan P. How
2020	J	`jnl`	Collision Probabilities for Continuous-Time Systems Without Sampling [with Appendices]. CoRR Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How
2020	—	`conf`	Collision Probabilities for Continuous-Time Systems Without Sampling. Robotics: Science and Systems Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How
2020	J	`jnl`	Crossmodal attentive skill learner: learning in Atari and beyond with audio-video inputs. Auton. Agents Multi Agent Syst. Dong-Ki Kim, Shayegan Omidshafiei, Jason Pazis, Jonathan P. How
2020	A*	`conf`	Dynamic Landing of an Autonomous Quadrotor on a Moving Platform in Turbulent Wind Conditions. ICRA Aleix Paris, Brett T. Lopez, Jonathan P. How
2020	J	`jnl`	FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments. CoRR Jesus Tordesillas, Brett T. Lopez, Michael Everett, Jonathan P. How
2020	J	`jnl`	Kimera-Multi: a System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping. CoRR Yun Chang, Yulun Tian, Jonathan P. How, Luca Carlone
2020	—	`conf`	LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments. ISER Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai, Angel Santamaria-Navarro, Jonathan P. How, Luca Carlone, Ali-Akbar Agha-Mohammadi
2020	A	`conf`	Learning Hierarchical Teaching Policies for Cooperative Agents. AAMAS Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
2020	C	`conf`	Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection. ACC Lena M. Downes, Ted J. Steiner, Jonathan P. How
2020	J	`jnl`	Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection. CoRR Lena M. Downes, Ted J. Steiner, Jonathan P. How
2020	J	`jnl`	MADER: Trajectory Planner in Multi-Agent and Dynamic Environments. CoRR Jesus Tordesillas, Jonathan P. How
2020	J	`jnl`	MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves. CoRR Jesus Tordesillas, Jonathan P. How
2020	J	`jnl`	Multi-Agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning. IEEE Robotics Autom. Lett. Samaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton H. J. de Ruiter, Jonathan P. How
2020	J	`jnl`	Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning. CoRR Samaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton H. J. de Ruiter, Jonathan P. How
2020	J	`jnl`	Onboard Detection and Localization of Drones Using Depth Maps. IEEE Access Adrian Carrio, Jesus Tordesillas, Sai Vemprala, Srikanth Saripalli, Pascual Campoy, Jonathan P. How
2020	J	`jnl`	Performance Analysis of Adaptive Dynamic Tube MPC. CoRR Savva Morozov, Parker C. Lusk, Brett T. Lopez, Jonathan P. How
2020	A*	`conf`	Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning. ICRA Arpan Kusari, Jonathan P. How
2020	J	`jnl`	R-MADDPG for Partially Observable Environments and Limited Communication. CoRR Rose E. Wang, Michael Everett, Jonathan P. How
2020	J	`jnl`	Robustness Analysis of Neural Networks via Efficient Partitioning: Theory and Applications in Control Systems. CoRR Michael Everett, Golnaz Habibi, Jonathan P. How
2020	—	`conf`	SILA: An Incremental Learning Approach for Pedestrian Trajectory Prediction. CVPR Workshops Golnaz Habibi, Nikita Jaipuria, Jonathan P. How
2020	A	`conf`	Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph. IROS Chuangchuang Sun, Macheng Shen, Jonathan P. How
2020	J	`jnl`	Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph. CoRR Chuangchuang Sun, Macheng Shen, Jonathan P. How
2020	J	`jnl`	Search and rescue under the forest canopy using multiple UAVs. Int. J. Robotics Res. Yulun Tian, Katherine Liu, Kyel Ok, Loc D. Tran, Danette Allen, Nicholas Roy, Jonathan P. How
2020	J	`jnl`	Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer. CoRR Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
2020	A	`conf`	Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor. IROS Andrea Tagliabue, Aleix Paris, Suhan Kim, Regan Kubicek, Sarah Bergbreiter, Jonathan P. How
2020	J	`jnl`	Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor. CoRR Andrea Tagliabue, Aleix Paris, Suhan Kim, Regan Kubicek, Sarah Bergbreiter, Jonathan P. How
2020	J	`jnl`	VPS-SLAM: Visual Planar Semantic SLAM for Aerial Robotic Systems. IEEE Access Hriday Bavle, Paloma de la Puente, Jonathan P. How, Pascual Campoy
2019	J	`jnl`	A Resource-Aware Approach to Collaborative Loop Closure Detection with Provable Performance Guarantees. CoRR Yulun Tian, Kasra Khosoussi, Jonathan P. How
2019	A*	`conf`	Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning. ICRA Macheng Shen, Jonathan P. How
2019	J	`jnl`	Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning. CoRR Macheng Shen, Jonathan P. How
2019	J	`jnl`	Automatic Pan-Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets. IEEE Trans. Autom. Control. Hongchuan Wei, Pingping Zhu, Miao Liu, Jonathan P. How, Silvia Ferrari
2019	J	`jnl`	Block-Coordinate Descent on the Riemannian Staircase for Certifiably Correct Distributed Rotation and Pose Synchronization. CoRR Yulun Tian, Kasra Khosoussi, Jonathan P. How
2019	J	`jnl`	Block-Coordinate Minimization for Large SDPs with Block-Diagonal Constraints. CoRR Yulun Tian, Kasra Khosoussi, Jonathan P. How
2019	J	`jnl`	CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-Agent Data Association. CoRR Kaveh Fathian, Kasra Khosoussi, Parker C. Lusk, Yulun Tian, Jonathan P. How
2019	Misc	`conf`	Certified Adversarial Robustness for Deep Reinforcement Learning. CoRL Björn Lütjens, Michael Everett, Jonathan P. How
2019	J	`jnl`	Certified Adversarial Robustness for Deep Reinforcement Learning. CoRR Björn Lütjens, Michael Everett, Jonathan P. How
2019	A*	`conf`	Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems. AAAI Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How
2019	J	`jnl`	Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning. CoRR Michael Everett, Yu Fan Chen, Jonathan P. How
2019	J	`jnl`	Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. Trevor Campbell, Brian Kulis, Jonathan P. How
2019	J	`jnl`	Dynamic Landing of an Autonomous Quadrotor on a Moving Platform in Turbulent Wind Conditions. CoRR Aleix Paris, Brett T. Lopez, Jonathan P. How
2019	C	`conf`	Dynamic Tube MPC for Nonlinear Systems. ACC Brett T. Lopez, Jonathan P. How, Jean-Jacques E. Slotine
2019	J	`jnl`	Dynamic Tube MPC for Nonlinear Systems. CoRR Brett T. Lopez, Jean-Jacques E. Slotine, Jonathan P. How
2019	A*	`conf`	Efficient Constellation-Based Map-Merging for Semantic SLAM. ICRA Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How
2019	A	`conf`	FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments. IROS Jesus Tordesillas, Brett T. Lopez, Jonathan P. How
2019	J	`jnl`	FaSTraP: Fast and Safe Trajectory Planner for Flights in Unknown Environments. CoRR Jesus Tordesillas, Brett T. Lopez, Jonathan P. How
2019	J	`jnl`	Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections. CoRR Golnaz Habibi, Nikita Jaipuria, Jonathan P. How
2019	J	`jnl`	Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning. CoRR Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
2019	A*	`conf`	Learning to Teach in Cooperative Multiagent Reinforcement Learning. AAAI Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
2019	J	`jnl`	Modeling and Planning with Macro-Actions in Decentralized POMDPs. J. Artif. Intell. Res. Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling, Jonathan P. How
2019	A	`conf`	Planning Beyond The Sensing Horizon Using a Learned Context. IROS Michael Everett, Justin Miller, Jonathan P. How
2019	J	`jnl`	Planning Beyond the Sensing Horizon Using a Learned Context. CoRR Michael Everett, Justin Miller, Jonathan P. How
2019	A	`conf`	Policy Distillation and Value Matching in Multiagent Reinforcement Learning. IROS Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How
2019	J	`jnl`	Policy Distillation and Value Matching in Multiagent Reinforcement Learning. CoRR Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How
2019	J	`jnl`	Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning. CoRR Arpan Kusari, Jonathan P. How
2019	A*	`conf`	Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments. ICRA Jesus Tordesillas, Brett T. Lopez, John Carter, John Ware, Jonathan P. How
2019	J	`jnl`	Reliable Graphs for SLAM. Int. J. Robotics Res. Kasra Khosoussi, Matthew Giamou, Gaurav S. Sukhatme, Shoudong Huang, Gamini Dissanayake, Jonathan P. How
2019	J	`jnl`	Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees. CoRR Yulun Tian, Kasra Khosoussi, Jonathan P. How
2019	A*	`conf`	Robust Object-based SLAM for High-speed Autonomous Navigation. ICRA Kyel Ok, Katherine Liu, Kristoffer M. Frey, Jonathan P. How, Nicholas Roy
2019	J	`jnl`	Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games. CoRR Macheng Shen, Jonathan P. How
2019	A*	`conf`	Safe Reinforcement Learning With Model Uncertainty Estimates. ICRA Björn Lütjens, Michael Everett, Jonathan P. How
2019	J	`jnl`	Search and Rescue under the Forest Canopy using Multiple UAVs. CoRR Yulun Tian, Katherine Liu, Kyel Ok, Loc D. Tran, Danette Allen, Nicholas Roy, Jonathan P. How
2019	J	`jnl`	Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators. CoRR Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How
2019	J	`jnl`	Vision-Based Multirotor Following Using Synthetic Learning Techniques. Sensors Alejandro Rodriguez-Ramos, Adrian Alvarez-Fernandez, Hriday Bavle, Pascual Campoy, Jonathan P. How
2019	J	`jnl`	Where Do We Go From Here? Debates on the Future of Robotics Research at ICRA 2019 [From the Field]. IEEE Robotics Autom. Mag. Lee E. Clement, Valentin Peretroukhin, Matthew Giamou, John J. Leonard, Hadas Kress-Gazit, Jonathan P. How, Michael Milford, Oliver Brock, Ryan Gariepy, Nicholas Roy, Hallie Siegel, Ludovic Righetti, Aude Billard, Jonathan Kelly
2018	J	`jnl`	A Transferable Pedestrian Motion Prediction Model for Intersections with Different Geometries. CoRR Nikita Jaipuria, Golnaz Habibi, Jonathan P. How
2018	C	`conf`	Active Sampling for Closed-Loop Statistical Verification of Uncertain Nonlinear Systems. ACC John F. Quindlen, Ufuk Topcu, Girish Chowdhary, Jonathan P. How
2018	J	`jnl`	Autonomous task allocation for multi-UAV systems based on the locust elastic behavior. Appl. Soft Comput. Heba A. Kurdi, Ebtesam Aloboud, Maram Alalwan, Sarah Alhassan, Ebtehal T. Alotaibi, Guillermo Bautista, Jonathan P. How
2018	C	`conf`	Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties. ACC John F. Quindlen, Ufuk Topcu, Girish Chowdhary, Jonathan P. How
2018	J	`jnl`	Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems. CoRR Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan P. How
2018	A*	`conf`	Complexity Analysis and Efficient Measurement Selection Primitives for High-Rate Graph SLAM. ICRA Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How
2018	J	`jnl`	Context-Aware Pedestrian Motion Prediction In Urban Intersections. CoRR Golnaz Habibi, Nikita Jaipuria, Jonathan P. How
2018	A	`conf`	Crossmodal Attentive Skill Learner. AAMAS Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How
2018	J	`jnl`	Efficient Constellation-Based Map-Merging for Semantic SLAM. CoRR Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How
2018	—	`conf`	Learning in the Curbside Coordinate Frame for a Transferable Pedestrian Trajectory Prediction Model. ITSC Nikita Jaipuria, Golnaz Habibi, Jonathan P. How
2018	J	`jnl`	Learning to Teach in Cooperative Multiagent Reinforcement Learning. CoRR Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
2018	A	`conf`	Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning. IROS Michael Everett, Yu Fan Chen, Jonathan P. How
2018	J	`jnl`	Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning. CoRR Michael Everett, Yu Fan Chen, Jonathan P. How
2018	A*	`conf`	Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems. ICRA Trong Nghia Hoang, Yuchen Xiao, Kavinayan Sivakumar, Christopher Amato, Jonathan P. How
2018	—	`conf`	Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection. Robotics: Science and Systems Yulun Tian, Kasra Khosoussi, Matthew Giamou, Jonathan P. How, Jonathan Kelly
2018	J	`jnl`	Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection. CoRR Yulun Tian, Kasra Khosoussi, Matthew Giamou, Jonathan P. How, Jonathan Kelly
2018	J	`jnl`	Partial Replanning for Decentralized Dynamic Task Allocation. CoRR Noam Buckman, Han-Lim Choi, Jonathan P. How
2018	J	`jnl`	Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments. CoRR Jesus Tordesillas, Brett T. Lopez, John Carter, John Ware, Jonathan P. How
2018	—	`conf`	Reference Drag Update Scheme in Shuttle Entry Guidance Using Range Allocator for Tight Constraints. ECC Erin Evans, Stephen Thrasher, Jonathan P. How
2018	C	`conf`	Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees. WAFR Yulun Tian, Kasra Khosoussi, Jonathan P. How
2018	A*	`conf`	Robust Collision Avoidance via Sliding Control. ICRA Brett T. Lopez, Jean-Jacques E. Slotine, Jonathan P. How
2018	—	`conf`	Robust Powered Descent with Control Contraction Metrics. CDC Brett T. Lopez, Jean-Jacques E. Slotine, Jonathan P. How
2018	J	`jnl`	Safe Reinforcement Learning with Model Uncertainty Estimates. CoRR Björn Lütjens, Michael Everett, Jonathan P. How
2018	—	`conf`	Search and Rescue Under the Forest Canopy Using Multiple UAS. ISER Yulun Tian, Katherine Liu, Kyel Ok, Loc D. Tran, Danette Allen, Nicholas Roy, Jonathan P. How
2018	A*	`conf`	Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed Loop Closure Detection. ICRA Matthew Giamou, Kasra Khosoussi, Jonathan P. How
2018	A	`conf`	Transferable Pedestrian Motion Prediction Models at Intersections. IROS Macheng Shen, Golnaz Habibi, Jonathan P. How
2018	J	`jnl`	Transferable Pedestrian Motion Prediction Models at Intersections. CoRR Macheng Shen, Golnaz Habibi, Jonathan P. How
2017	J	`jnl`	Active Sampling for Constrained Simulation-based Verification of Uncertain Nonlinear Systems. CoRR John F. Quindlen, Ufuk Topcu, Girish Chowdhary, Jonathan P. How
2017	J	`jnl`	Active Sampling-based Binary Verification of Dynamical Systems. CoRR John F. Quindlen, Ufuk Topcu, Girish Chowdhary, Jonathan P. How
2017	A*	`conf`	Aggressive 3-D collision avoidance for high-speed navigation. ICRA Brett T. Lopez, Jonathan P. How
2017	A	`conf`	Aggressive collision avoidance with limited field-of-view sensing. IROS Brett T. Lopez, Jonathan P. How
2017	J	`jnl`	Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties. CoRR John F. Quindlen, Ufuk Topcu, Girish Chowdhary, Jonathan P. How
2017	J	`jnl`	Complexity Analysis and Efficient Measurement Selection Primitives for High-Rate Graph SLAM. CoRR Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How
2017	J	`jnl`	Crossmodal Attentive Skill Learner. CoRR Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How
2017	J	`jnl`	Decentralized Task Allocation Using Local Information Consistency Assumptions. J. Aerosp. Inf. Syst. Luke B. Johnson, Han-Lim Choi, Sameera S. Ponda, Jonathan P. How
2017	J	`jnl`	Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions. Int. J. Robotics Res. Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Shih-Yuan Liu, Jonathan P. How, John Vian
2017	A*	`conf`	Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning. ICRA Yu Fan Chen, Miao Liu, Michael Everett, Jonathan P. How
2017	A*	`conf`	Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. ICML Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian
2017	J	`jnl`	Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. CoRR Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian
2017	J	`jnl`	Demand Estimation and Chance-Constrained Fleet Management for Ride Hailing. CoRR Justin Miller, Jonathan P. How
2017	A	`conf`	Demand estimation and chance-constrained fleet management for ride hailing. IROS Justin Miller, Jonathan P. How
2017	A*	`conf`	Duckietown: An open, inexpensive and flexible platform for autonomy education and research. ICRA Liam Paull, Jacopo Tani, Heejin Ahn, Javier Alonso-Mora, Luca Carlone, Michal Cáp, Yu Fan Chen, Changhyun Choi, Jeff Dusek, Yajun Fang, Daniel Hoehener, Shih-Yuan Liu, Michael Novitzky, Igor Franzoni Okuyama, Jason Pazis, Guy Rosman, Valerio Varricchio, Hsueh-Cheng Wang, Dmitry S. Yershov, Hang Zhao, Michael Benjamin, Christopher Carr, Maria T. Zuber, Sertac Karaman, Emilio Frazzoli, Domitilla Del Vecchio, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi
2017	J	`jnl`	Dynamic Arrival Rate Estimation for Campus Mobility on Demand Network Graphs. CoRR Justin Miller, Andres Hasfura, Shih-Yuan Liu, Jonathan P. How
2017	A*	`conf`	Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures. CVPR Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III
2017	J	`jnl`	Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions. CoRR Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How
2017	A	`conf`	Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions. IROS Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How
2017	J	`jnl`	Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems. CoRR Trong Nghia Hoang, Yuchen Xiao, Kavinayan Sivakumar, Christopher Amato, Jonathan P. How
2017	J	`jnl`	Online Regression for Data With Changepoints Using Gaussian Processes and Reusable Models. IEEE Trans. Neural Networks Learn. Syst. Robert C. Grande, Thomas J. Walsh, Girish Chowdhary, Sarah Ferguson, Jonathan P. How
2017	A*	`conf`	Planning and Learning under Uncertainty: Theory and Practice. KDD Jonathan P. How
2017	A*	`conf`	Predictive positioning and quality of service ridesharing for campus mobility on demand systems. ICRA Justin Miller, Jonathan P. How
2017	C	`conf`	Quickest change detection approach to optimal control in Markov decision processes with model changes. ACC Taposh Banerjee, Miao Liu, Jonathan P. How
2017	J	`jnl`	SLAM with Objects using a Nonparametric Pose Graph. CoRR Beipeng Mu, Shih-Yuan Liu, Liam Paull, John J. Leonard, Jonathan P. How
2017	J	`jnl`	Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces. CoRR Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian
2017	A*	`conf`	Scalable accelerated decentralized multi-robot policy search in continuous observation spaces. ICRA Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian
2017	J	`jnl`	Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations. CoRR Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett T. Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian
2017	A*	`conf`	Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations. ICRA Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett T. Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian
2017	J	`jnl`	Socially Aware Motion Planning with Deep Reinforcement Learning. CoRR Yu Fan Chen, Michael Everett, Miao Liu, Jonathan P. How
2017	A	`conf`	Socially aware motion planning with deep reinforcement learning. IROS Yu Fan Chen, Michael Everett, Miao Liu, Jonathan P. How
2017	A	`conf`	Stable laser interest point selection for place recognition in a forest. IROS Matthew Giamou, Yaroslav Babich, Golnaz Habibi, Jonathan P. How
2017	J	`jnl`	Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed SLAM Front-Ends. CoRR Matthew Giamou, Kasra Khosoussi, Jonathan P. How
2017	J	`jnl`	Two-Stage Focused Inference for Resource-Constrained Minimal Collision Navigation. IEEE Trans. Robotics Beipeng Mu, Liam Paull, Ali-Akbar Agha-Mohammadi, John J. Leonard, Jonathan P. How
2016	C	`conf`	Adaptive mission planning for coupled human-robot teams. ACC Christopher J. Shannon, Luke B. Johnson, Kimberly F. Jackson, Jonathan P. How
2016	A*	`conf`	Augmented dictionary learning for motion prediction. ICRA Yu Fan Chen, Miao Liu, Jonathan P. How
2016	A*	`conf`	Autonomous drifting using simulation-aided reinforcement learning. ICRA Mark Cutler, Jonathan P. How
2016	—	`conf`	Case Studies in Data-Driven Verification of Dynamical Systems. HSCC Alexandar Kozarev, John F. Quindlen, Jonathan P. How, Ufuk Topcu
2016	J	`jnl`	Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning. CoRR Yu Fan Chen, Miao Liu, Michael Everett, Jonathan P. How
2016	—	`conf`	Duckietown: An Innovative Way to Teach Autonomy. EDUROBOTICS Jacopo Tani, Liam Paull, Maria T. Zuber, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi
2016	A	`conf`	Dynamic arrival rate estimation for campus Mobility On Demand network graphs. IROS Justin Miller, Andres Hasfura, Shih-Yuan Liu, Jonathan P. How
2016	J	`jnl`	Efficient Globally Optimal Point Cloud Alignment using Bayesian Nonparametric Mixtures. CoRR Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III
2016	A*	`conf`	Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs. ICRA Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Shih-Yuan Liu, Jonathan P. How, John Vian
2016	J	`jnl`	Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification. CoRR Shayegan Omidshafiei, Brett T. Lopez, Jonathan P. How, John Vian
2016	—	`conf`	Improving PAC Exploration Using the Median Of Means. NIPS Jason Pazis, Ronald Parr, Jonathan P. How
2016	J	`jnl`	Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models. Autom. Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Miao Liu, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How
2016	—	`conf`	Information-based Active SLAM via topological feature graphs. CDC Beipeng Mu, Matthew Giamou, Liam Paull, Ali-Akbar Agha-Mohammadi, John J. Leonard, Jonathan P. How
2016	A*	`conf`	Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments. AAAI Miao Liu, Christopher Amato, Emily P. Anesta, John Daniel Griffith, Jonathan P. How
2016	A	`conf`	Motion planning with diffusion maps. IROS Yu Fan Chen, Shih-Yuan Liu, Miao Liu, Justin Miller, Jonathan P. How
2016	J	`jnl`	Policy search for multi-robot coordination under uncertainty. Int. J. Robotics Res. Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling
2016	J	`jnl`	Predictive Positioning and Quality Of Service Ridesharing for Campus Mobility On Demand Systems. CoRR Justin Miller, Jonathan P. How
2016	J	`jnl`	Quickest Change Detection Approach to Optimal Control in Markov Decision Processes with Model Changes. CoRR Taposh Banerjee, Miao Liu, Jonathan P. How
2016	C	`conf`	Region-of-convergence estimation for learning-based adaptive controllers. ACC John F. Quindlen, Ufuk Topcu, Girish Chowdhary, Jonathan P. How
2016	A	`conf`	SLAM with objects using a nonparametric pose graph. IROS Beipeng Mu, Shih-Yuan Liu, Liam Paull, John J. Leonard, Jonathan P. How
2016	J	`jnl`	Small-Variance Nonparametric Clustering on the Hypersphere. CoRR Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III
2015	J	`jnl`	A Situationally Aware Voice-commandable Robotic Forklift Working Alongside People in Unstructured Outdoor Environments. J. Field Robotics Matthew R. Walter, Matthew E. Antone, Ekapol Chuangsuwanich, Andrew Correa, Randall Davis, Luke Fletcher, Emilio Frazzoli, Yuli Friedman, James R. Glass, Jonathan P. How, Jeong hwan Jeon, Sertac Karaman, Brandon Luders, Nicholas Roy, Stefanie Tellex, Seth J. Teller
2015	C	`conf`	Adaptive search for multi-class targets with heterogeneous importance. FUSION Beipeng Mu, Gregory E. Newstadt, Dennis L. Wei, Alfred O. Hero III, Jonathan P. How
2015	J	`jnl`	Bayesian Nonparametric Adaptive Control Using Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. Girish Chowdhary, Hassan A. Kingravi, Jonathan P. How, Patricio A. Vela
2015	J	`jnl`	Bayesian Nonparametric Reward Learning From Demonstration. IEEE Trans. Robotics Bernard Michini, Thomas J. Walsh, Ali-Akbar Agha-Mohammadi, Jonathan P. How
2015	C	`conf`	Bayesian nonparametric set construction for robust optimization. ACC Trevor Campbell, Jonathan P. How
2015	J	`jnl`	Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions. CoRR Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Jonathan P. How
2015	A*	`conf`	Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions. ICRA Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Jonathan P. How
2015	A*	`conf`	Decoupled multiagent path planning via incremental sequential convex programming. ICRA Yu Fan Chen, Mark Cutler, Jonathan P. How
2015	A*	`conf`	Efficient reinforcement learning for robots using informative simulated priors. ICRA Mark Cutler, Jonathan P. How
2015	J	`jnl`	Health Aware Planning Under Uncertainty for Collaborating Heterogeneous Teams of Mobile Agents. Unmanned Syst. N. Kemal Ure, Girish Chowdhary, Jonathan P. How, John Vian
2015	C	`conf`	Hybrid model reference adaptive control for unmatched uncertainties. ACC John F. Quindlen, Girish Chowdhary, Jonathan P. How
2015	J	`jnl`	Importance-Weighted Adaptive Search for Multi-Class Targets. IEEE Trans. Signal Process. Gregory E. Newstadt, Beipeng Mu, Dennis L. Wei, Jonathan P. How, Alfred O. Hero III
2015	J	`jnl`	Information-based Active SLAM via Topological Feature Graphs. CoRR Beipeng Mu, Liam Paull, Ali-Akbar Agha-Mohammadi, John J. Leonard, Jonathan P. How
2015	A	`conf`	Online heterogeneous multiagent learning under limited communication with applications to forest fire management. IROS N. Kemal Ure, Shayegan Omidshafiei, Brett Thomas Lopez, Ali-Akbar Agha-Mohammadi, Jonathan P. How, John Vian
2015	A*	`conf`	Planning for decentralized control of multiple robots under uncertainty. ICRA Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling
2015	—	`conf`	Policy Search for Multi-Robot Coordination under Uncertainty. Robotics: Science and Systems Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling
2015	—	`conf`	Probabilistic Planning for Decentralized Multi-Robot Systems. AAAI Fall Symposia Christopher Amato, George Dimitri Konidaris, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Jonathan P. How, Leslie Pack Kaelbling
2015	J	`jnl`	RLPy: a value-function-based reinforcement learning framework for education and research. J. Mach. Learn. Res. Alborz Geramifard, Christoph Dann, Robert H. Klein, William Dabney, Jonathan P. How
2015	A	`conf`	Randomized Coordination Search for Scalable Multiagent Planning. AAMAS N. Kemal Ure, Jonathan P. How, John Vian
2015	J	`jnl`	Real-World Reinforcement Learning via Multifidelity Simulators. IEEE Trans. Robotics Mark Cutler, Thomas J. Walsh, Jonathan P. How
2015	A	`conf`	Robust incremental SLAM with consistency-checking. IROS Matthew C. Graham, Jonathan P. How, Donald E. Gustafson
2015	A*	`conf`	Small-variance nonparametric clustering on the hypersphere. CVPR Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III
2015	A*	`conf`	Stick-Breaking Policy Learning in Dec-POMDPs. IJCAI Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How
2015	J	`jnl`	Stick-Breaking Policy Learning in Dec-POMDPs. CoRR Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How
2015	—	`conf`	Streaming, Distributed Variational Inference for Bayesian Nonparametrics. NIPS Trevor Campbell, Julian Straub, John W. Fisher III, Jonathan P. How
2015	J	`jnl`	Streaming, Distributed Variational Inference for Bayesian Nonparametrics. CoRR Trevor Campbell, Julian Straub, John W. Fisher III, Jonathan P. How
2015	—	`conf`	Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation. Robotics: Science and Systems Beipeng Mu, Ali-Akbar Agha-Mohammadi, Liam Paull, Matthew C. Graham, Jonathan P. How, John J. Leonard
2014	C	`conf`	An optimizing sampling-based motion planner with guaranteed robustness to bounded uncertainty. ACC Brandon D. Luders, Jonathan P. How
2014	A	`conf`	Approximate Decentralized Bayesian Inference. UAI Trevor Campbell, Jonathan P. How
2014	A	`conf`	Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models. IROS Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How
2014	C	`conf`	Convergence analysis of the Hybrid Information and Plan Consensus Algorithm. ACC Luke B. Johnson, Han-Lim Choi, Jonathan P. How
2014	J	`jnl`	Decentralized Variational Bayesian Inference. CoRR Trevor Campbell, Jonathan P. How
2014	J	`jnl`	Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams - Scaling Up the Multiagent Planning with Distributed Learning and Approximate Representations. J. Intell. Robotic Syst. N. Kemal Ure, Girish Chowdhary, Yu Fan Chen, Jonathan P. How, John Vian
2014	J	`jnl`	Efficient distributed sensing using adaptive censoring-based inference. Autom. Beipeng Mu, Girish Chowdhary, Jonathan P. How
2014	J	`jnl`	Experimental Validation of Bayesian Nonparametric Adaptive Control Using Gaussian Processes. J. Aerosp. Inf. Syst. Robert C. Grande, Girish Chowdhary, Jonathan P. How
2014	A	`conf`	Health aware stochastic planning for persistent package delivery missions using quadrotors. IROS Ali-Akbar Agha-Mohammadi, N. Kemal Ure, Jonathan P. How, John Vian
2014	A*	`conf`	Human aware UAS path planning in urban environments using nonstationary MDPs. ICRA Rakshit Allamaraju, Hassan A. Kingravi, Allan Axelrod, Girish Chowdhary, Robert C. Grande, Jonathan P. How, Christopher Crick, Weihua Sheng
2014	J	`jnl`	Planning for Decentralized Control of Multiple Robots Under Uncertainty. CoRR Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling
2014	C	`conf`	Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management. ACC Yu Fan Chen, N. Kemal Ure, Girish Chowdhary, Jonathan P. How, John Vian
2014	—	`conf`	Potential Game-Theoretic Analysis of a Market-Based Decentralized Task Allocation Algorithm. DARS Han-Lim Choi, Keum-Seong Kim, Luke B. Johnson, Jonathan P. How
2014	A	`conf`	Quantifying Nonlocal Informativeness in High-Dimensional, Loopy Gaussian Graphical Models. UAI Daniel S. Levine, Jonathan P. How
2014	C	`conf`	Real-Time Predictive Modeling and Robust Avoidance of Pedestrians with Uncertain, Changing Intentions. WAFR Sarah Ferguson, Brandon Luders, Robert C. Grande, Jonathan P. How
2014	J	`jnl`	Real-Time Predictive Modeling and Robust Avoidance of Pedestrians with Uncertain, Changing Intentions. CoRR Sarah Ferguson, Brandon Luders, Robert C. Grande, Jonathan P. How
2014	A*	`conf`	Reinforcement learning with multi-fidelity simulators. ICRA Mark Cutler, Thomas J. Walsh, Jonathan P. How
2014	J	`jnl`	Resource-Constrained Adaptive Search for Sparse Multi-Class Targets with Varying Importance. CoRR Gregory E. Newstadt, Beipeng Mu, Dennis L. Wei, Jonathan P. How, Alfred O. Hero III
2014	A*	`conf`	Sample Efficient Reinforcement Learning with Gaussian Processes. ICML Robert C. Grande, Thomas J. Walsh, Jonathan P. How
2014	J	`jnl`	Special Issue on Aerospace and Mechanical Applications of Reinforcement Learning and Adaptive Learning Based Control. J. Aerosp. Inf. Syst. Jonathan P. How, Girish Chowdhary, Thomas J. Walsh
2014	—	`conf`	The Hybrid Information and Plan Consensus Algorithm with Imperfect Situational Awareness. DARS Luke B. Johnson, Han-Lim Choi, Jonathan P. How
2013	—	`conf`	A Bayesian nonparametric approach to adaptive control using Gaussian Processes. CDC Girish Chowdhary, Hassan A. Kingravi, Jonathan P. How, Patricio A. Vela
2013	J	`jnl`	A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning. Found. Trends Mach. Learn. Alborz Geramifard, Thomas J. Walsh, Stefanie Tellex, Girish Chowdhary, Nicholas Roy, Jonathan P. How
2013	—	`conf`	A concurrent learning adaptive-optimal control architecture for nonlinear systems. CDC Girish Chowdhary, Maximilian Mühlegg, Jonathan P. How, Florian Holzapfel
2013	J	`jnl`	An outer-approximation approach for information-maximizing sensor selection. Optim. Lett. Han-Lim Choi, Jonathan P. How, Paul I. Barton
2013	A	`conf`	Batch-iFDD for Representation Expansion in Large MDPs. UAI Alborz Geramifard, Thomas J. Walsh, Nicholas Roy, Jonathan P. How
2013	J	`jnl`	Batch-iFDD for Representation Expansion in Large MDPs. CoRR Alborz Geramifard, Thomas J. Walsh, Nicholas Roy, Jonathan P. How
2013	C	`conf`	Bayesian nonparametric adaptive control of time-varying systems using Gaussian processes. ACC Girish Chowdhary, Hassan A. Kingravi, Jonathan P. How, Patricio A. Vela
2013	J	`jnl`	Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture CoRR Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How
2013	—	`conf`	Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture. NIPS Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How, Lawrence Carin
2013	C	`conf`	Efficient distributed sensing using adaptive censoring based inference. ACC Beipeng Mu, Girish Chowdhary, Jonathan P. How
2013	—	`conf`	Health Aware Planning under uncertainty for UAV missions with heterogeneous teams. ECC N. Kemal Ure, Girish Chowdhary, Jonathan P. How, Matthew A. Vavrina, John Vian
2013	J	`jnl`	Information-Theoretic Motion Planning for Constrained Sensor Networks. J. Aerosp. Inf. Syst. Daniel S. Levine, Brandon Luders, Jonathan P. How
2013	J	`jnl`	Intelligent Cooperative Control Architecture: A Framework for Performance Improvement Using Safe Learning. J. Intell. Robotic Syst. Alborz Geramifard, Josh Redding, Jonathan P. How
2013	C	`conf`	Multiagent allocation of Markov decision process tasks. ACC Trevor Campbell, Luke B. Johnson, Jonathan P. How
2013	—	`conf`	Nonparametric adaptive control using Gaussian Processes with online hyperparameter estimation. CDC Robert C. Grande, Girish Chowdhary, Jonathan P. How
2013	J	`jnl`	Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns. Auton. Robots Georges Aoude, Brandon Luders, Joshua Mason Joseph, Nicholas Roy, Jonathan P. How
2013	A*	`conf`	Rapid transfer of controllers between UAVs using learning-based adaptive control. ICRA Girish Chowdhary, Tongbin Wu, Mark Cutler, Jonathan P. How
2013	A*	`conf`	Reinforcement learning with misspecified model classes. ICRA Joshua Mason Joseph, Alborz Geramifard, John W. Roberts, Jonathan P. How, Nicholas Roy
2013	C	`conf`	Risk allocation strategies for distributed chance-constrained task allocation. ACC Sameera S. Ponda, Luke B. Johnson, Jonathan P. How
2013	A*	`conf`	Scalable reward learning from demonstration. ICRA Bernard Michini, Mark Cutler, Jonathan P. How
2013	—	`conf`	Sensor Selection in High-Dimensional Gaussian Trees with Nuisances. NIPS Daniel S. Levine, Jonathan P. How
2012	J	`jnl`	A hyperparameter consensus method for agreement under uncertainty. Autom. Cameron S. R. Fraser, Luca F. Bertuccelli, Han-Lim Choi, Jonathan P. How
2012	—	`conf`	Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery. ECML/PKDD (2) N. Kemal Ure, Alborz Geramifard, Girish Chowdhary, Jonathan P. How
2012	—	`conf`	Allowing non-submodular score functions in distributed task allocation. CDC Luke B. Johnson, Han-Lim Choi, Sameera S. Ponda, Jonathan P. How
2012	—	`conf`	Bayesian Nonparametric Inverse Reinforcement Learning. ECML/PKDD (2) Bernard Michini, Jonathan P. How
2012	J	`jnl`	Decentralized path planning for multi-agent teams with complex constraints. Auton. Robots Vishnu Desaraju, Jonathan P. How
2012	J	`jnl`	Distributed Planning Strategies to Ensure Network Connectivity for Dynamic Heterogeneous Teams. IEEE J. Sel. Areas Commun. Sameera S. Ponda, Luke B. Johnson, Andrew N. Kopeikin, Han-Lim Choi, Jonathan P. How
2012	C	`conf`	Distributed chance-constrained task allocation for autonomous multi-agent teams. ACC Sameera S. Ponda, Luke B. Johnson, Jonathan P. How
2012	J	`jnl`	Driver Behavior Classification at Intersections and Validation on Large Naturalistic Data Set. IEEE Trans. Intell. Transp. Syst. Georges Aoude, Vishnu Desaraju, Lauren H. Stephens, Jonathan P. How
2012	J	`jnl`	Guaranteed infinite horizon avoidance of unpredictable, dynamically constrained obstacles. Auton. Robots Albert Wu, Jonathan P. How
2012	J	`jnl`	Guest Editorial: Communications Challenges and Dynamics for Unmanned Autonomous Vehicles. IEEE J. Sel. Areas Commun. Gerard Parr, Steve Hailes, Jonathan P. How, Joe McGeehan, Y. Jay Guo
2012	A*	`conf`	Improving the efficiency of Bayesian inverse reinforcement learning. ICRA Bernard Michini, Jonathan P. How
2012	C	`conf`	Model estimation within planning and learning. ACC Alborz Geramifard, Joshua D. Redding, Joshua Mason Joseph, Nicholas Roy, Jonathan P. How
2012	—	`conf`	Multi-UAV network control through dynamic task allocation: Ensuring data-rate and bit-error-rate support. GLOBECOM Workshops Andrew N. Kopeikin, Sameera S. Ponda, Luke B. Johnson, Jonathan P. How
2012	J	`jnl`	Operator Object Function Guidance for a Real-Time Unmanned Vehicle Scheduling Algorithm. J. Aerosp. Comput. Inf. Commun. Andrew S. Clare, Mary L. Cummings, Jonathan P. How, Andrew K. Whitten, Olivier Toupet
2012	C	`conf`	Scalable, MDP-based planning for multiple, cooperating agents. ACC Joshua D. Redding, N. Kemal Ure, Jonathan P. How, Matthew A. Vavrina, John Vian
2012	J	`jnl`	The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control. Proc. IEEE Mary L. Cummings, Jonathan P. How, Andrew K. Whitten, Olivier Toupet
2011	A*	`conf`	A decentralized approach to multi-agent planning in the presence of constraints and uncertainty. ICRA Aditya Undurti, Jonathan P. How
2011	J	`jnl`	Active Exploration in Robust Unmanned Vehicle Task Assignment. J. Aerosp. Comput. Inf. Commun. Luca F. Bertuccelli, Jonathan P. How
2011	B	`conf`	Behavior classification algorithms at intersections and validation using naturalistic data. Intelligent Vehicles Symposium Georges Aoude, Vishnu Desaraju, Lauren H. Stephens, Jonathan P. How
2011	J	`jnl`	Cooperative Distributed Robust Trajectory Optimization Using Receding Horizon MILP. IEEE Trans. Control. Syst. Technol. Yoshiaki Kuwata, Jonathan P. How
2011	A*	`conf`	Decentralized path planning for multi-agent teams in complex environments using rapidly-exploring random trees. ICRA Vishnu Desaraju, Jonathan P. How
2011	C	`conf`	Decentralized task allocation with coupled constraints in complex missions. ACC Andrew K. Whitten, Han-Lim Choi, Luke B. Johnson, Jonathan P. How
2011	A*	`conf`	Design and flight testing of an autonomous variable-pitch quadrotor. ICRA Buddy Michini, Josh Redding, N. Kemal Ure, Mark Cutler, Jonathan P. How
2011	J	`jnl`	Efficient Targeting of Sensor Networks for Large-Scale Systems. IEEE Trans. Control. Syst. Technol. Han-Lim Choi, Jonathan P. How
2011	A*	`conf`	Online Discovery of Feature Dependencies. ICML Alborz Geramifard, Finale Doshi, Josh Redding, Nicholas Roy, Jonathan P. How
2011	C	`conf`	Proactive planning for persistent missions using composite model-reference adaptive control and approximate dynamic programming. ACC Joshua D. Redding, Zac Dydek, Jonathan P. How, Matthew A. Vavrina, John Vian
2011	—	`conf`	Real-time dynamic planning to maintain network connectivity in a team of unmanned air vehicles. GLOBECOM Workshops Andrew N. Kopeikin, Sameera S. Ponda, Luke B. Johnson, Olivier Toupet, Jonathan P. How
2011	—	`conf`	Region of attraction comparison for gradient projection anti-windup compensated systems. CDC/ECC Justin Teo, Jonathan P. How
2011	J	`jnl`	Throughput Optimization in Mobile Backbone Networks. IEEE Trans. Mob. Comput. Emily M. Craparo, Jonathan P. How, Eytan H. Modiano
2011	C	`conf`	UAV cooperative control with stochastic risk models. ACC Alborz Geramifard, Joshua D. Redding, Nicholas Roy, Jonathan P. How
2010	C	`conf`	A hyperparameter-based approach for consensus under uncertainties. ACC Cameron S. R. Fraser, Luca F. Bertuccelli, Han-Lim Choi, Jonathan P. How
2010	A*	`conf`	A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments. ICRA Seth J. Teller, Matthew R. Walter, Matthew E. Antone, Andrew Correa, Randall Davis, Luke Fletcher, Emilio Frazzoli, Jim Glass, Jonathan P. How, Albert S. Huang, Jeong hwan Jeon, Sertac Karaman, Brandon Luders, Nicholas Roy, Tara N. Sainath
2010	—	`conf`	Actor-Critic Policy Learning in Cooperative Planning. AAAI Spring Symposium: Embedded Reasoning Josh Redding, Alborz Geramifard, Jonathan P. How
2010	C	`conf`	Agent capability in persistent mission planning using approximate dynamic programming. ACC Brett Bethke, Joshua D. Redding, Jonathan P. How, Matthew A. Vavrina, John Vian
2010	C	`conf`	An intelligent Cooperative Control Architecture. ACC Joshua D. Redding, Alborz Geramifard, Aditya Undurti, Han-Lim Choi, Jonathan P. How
2010	A*	`conf`	An online algorithm for constrained POMDPs. ICRA Aditya Undurti, Jonathan P. How
2010	C	`conf`	Analysis of gradient projection anti-windup scheme. ACC Justin Teo, Jonathan P. How
2010	C	`conf`	Analysis of mutual information for informative forecasting using mobile sensors. ICARCV Han-Lim Choi, Jonathan P. How
2010	C	`conf`	Approximate dynamic programming using model-free Bellman Residual Elimination. ACC Brett Bethke, Jonathan P. How
2010	C	`conf`	Bounds on tracking error using closed-loop rapidly-exploring random trees. ACC Brandon D. Luders, Sertac Karaman, Emilio Frazzoli, Jonathan P. How
2010	J	`jnl`	Continuous trajectory planning of mobile sensors for informative forecasting. Autom. Han-Lim Choi, Jonathan P. How
2010	C	`conf`	Decentralized planning for complex missions with dynamic communication constraints. ACC Sameera S. Ponda, Josh Redding, Han-Lim Choi, Jonathan P. How, Matthew A. Vavrina, John Vian
2010	C	`conf`	Decentralized task allocation for heterogeneous teams with cooperation constraints. ACC Han-Lim Choi, Andrew K. Whitten, Jonathan P. How
2010	C	`conf`	Geometric properties of gradient projection anti-windup compensated systems. ACC Justin Teo, Jonathan P. How
2010	J	`jnl`	Proportional-Integral Controllers for Minimum-Phase Nonaffine-in-Control Systems. IEEE Trans. Autom. Control. Justin Teo, Jonathan P. How, Eugene Lavretsky
2010	C	`conf`	Stability analysis for class of switched nonlinear systems. ACC Hamid Reza Shaker, Jonathan P. How
2010	—	`conf`	Threat assessment design for driver assistance system at intersections. ITSC Georges Aoude, Brandon D. Luders, Kenneth K. H. Lee, Daniel S. Levine, Jonathan P. How
2010	A	`conf`	Threat-aware path planning in uncertain urban environments. IROS Georges Aoude, Brandon Luders, Daniel S. Levine, Jonathan P. How
2009	—	`conf`	A Perception-Driven Autonomous Urban Vehicle. The DARPA Urban Challenge John J. Leonard, Jonathan P. How, Seth J. Teller, Mitch Berger, Stefan Campbell, Gaston A. Fiore, Luke Fletcher, Emilio Frazzoli, Albert S. Huang, Sertac Karaman, Olivier Koch, Yoshiaki Kuwata, David Moore, Edwin Olson, Steve Peters, Justin Teo, Robert Truax, Matthew R. Walter, David Barrett, Alexander Epstein, Keoni Maheloni, Katy Moyer, Troy Jones, Ryan Buckley, Matthew E. Antone, Robert Galejs, Siddhartha Krishnamurthy, Jonathan Williams
2009	—	`conf`	Anti-windup compensation for nonlinear systems via gradient projection: Application to adaptive control. CDC Justin Teo, Jonathan P. How
2009	C	`conf`	Approximate dynamic programming using Bellman residual elimination and Gaussian process regression. ACC Brett Bethke, Jonathan P. How
2009	J	`jnl`	Consensus-Based Decentralized Auctions for Robust Task Allocation. IEEE Trans. Robotics Han-Lim Choi, Luc Brunet, Jonathan P. How
2009	J	`jnl`	Increasing autonomy of UAVs. IEEE Robotics Autom. Mag. Jonathan P. How, Cameron S. R. Fraser, Karl C. Kulling, Luca F. Bertuccelli, Olivier Toupet, Luc Brunet, Abraham Bachrach, Nicholas Roy
2009	C	`conf`	On Approximate Dynamic Inversion and Proportional-Integral control. ACC Justin Teo, Jonathan P. How, Eugene Lavretsky
2009	C	`conf`	On the roles of smoothing in planning of informative paths. ACC Han-Lim Choi, Jonathan P. How
2009	J	`jnl`	Real-Time Motion Planning With Applications to Autonomous Urban Driving. IEEE Trans. Control. Syst. Technol. Yoshiaki Kuwata, Sertac Karaman, Justin Teo, Emilio Frazzoli, Jonathan P. How, Gaston A. Fiore
2009	C	`conf`	Robust adaptive Markov Decision Processes in multi-vehicle applications. ACC Luca F. Bertuccelli, Brett Bethke, Jonathan P. How
2009	—	`conf`	The MIT - Cornell Collision and Why It Happened. The DARPA Urban Challenge Luke Fletcher, Seth J. Teller, Edwin Olson, David Moore, Yoshiaki Kuwata, Jonathan P. How, John J. Leonard, Isaac Miller, Mark E. Campbell, Dan Huttenlocher, Aaron Nathan, Frank-Robert Kline
2009	A*	`conf`	Vision-based guidance and control of a hovering vehicle in unknown, GPS-denied environments. ICRA Spencer Ahrens, Daniel S. Levine, Gregory Andrews, Jonathan P. How
2008	J	`jnl`	A perception-driven autonomous urban vehicle. J. Field Robotics John J. Leonard, Jonathan P. How, Seth J. Teller, Mitch Berger, Stefan Campbell, Gaston A. Fiore, Luke Fletcher, Emilio Frazzoli, Albert S. Huang, Sertac Karaman, Olivier Koch, Yoshiaki Kuwata, David Moore, Edwin Olson, Steve Peters, Justin Teo, Robert Truax, Matthew R. Walter, David Barrett, Alexander Epstein, Keoni Maheloni, Katy Moyer, Troy Jones, Ryan Buckley, Matthew E. Antone, Robert Galejs, Siddhartha Krishnamurthy, Jonathan Williams
2008	C	`conf`	An outer-approximation algorithm for generalized maximum entropy sampling. ACC Han-Lim Choi, Jonathan P. How, Paul I. Barton
2008	—	`conf`	Approximate dynamic programming using support vector regression. CDC Brett Bethke, Jonathan P. How, Asuman E. Ozdaglar
2008	A*	`conf`	Autonomous aircraft flight control for constrained environments. ICRA Jonathan P. How, James S. McGrew, Adrian A. Frank, George H. Hines
2008	—	`conf`	Continuous motion planning for information forecast. CDC Han-Lim Choi, Jonathan P. How
2008	—	`conf`	Equivalence between Approximate Dynamic Inversion and Proportional-Integral control. CDC Justin Teo, Jonathan P. How
2008	—	`conf`	Estimation of non-stationary Markov Chain transition models. CDC Luca F. Bertuccelli, Jonathan P. How
2008	C	`conf`	Group health management of UAV teams with applications to persistent surveillance. ACC Brett Bethke, Jonathan P. How, John Vian
2008	A	`conf`	Motion planning for urban driving using RRT. IROS Yoshiaki Kuwata, Gaston A. Fiore, Justin Teo, Emilio Frazzoli, Jonathan P. How
2008	C	`conf`	Optimization of mobile backbone networks: Improved algorithms and approximation. ACC Emily M. Craparo, Jonathan P. How, Eytan H. Modiano
2008	C	`conf`	Robust Markov Decision Processes using Sigma Point sampling. ACC Luca F. Bertuccelli, Jonathan P. How
2008	—	`conf`	Simultaneous placement and assignment for exploration in mobile backbone networks. CDC Emily M. Craparo, Jonathan P. How, Eytan H. Modiano
2008	J	`jnl`	The MIT-Cornell collision and why it happened. J. Field Robotics Luke Fletcher, Seth J. Teller, Edwin Olson, David Moore, Yoshiaki Kuwata, Jonathan P. How, John J. Leonard, Isaac Miller, Mark E. Campbell, Dan Huttenlocher, Aaron Nathan, Frank-Robert Kline
2008	J	`jnl`	UAV Task Assignment. IEEE Robotics Autom. Mag. Brett Bethke, Mario J. Valenti, Jonathan P. How
2008	J	`jnl`	Unbiased Kalman Consensus Algorithm. J. Aerosp. Comput. Inf. Commun. Mehdi Alighanbari, Jonathan P. How
2007	Misc	`conf`	Adaptive Observation Strategies for Forecast Error Minimization. International Conference on Computational Science (1) Nicholas Roy, Han-Lim Choi, Daniel Gombos, James A. Hansen, Jonathan P. How, Sooho Park
2007	J	`jnl`	Distributed Robust Receding Horizon Control for Multivehicle Guidance. IEEE Trans. Control. Syst. Technol. Yoshiaki Kuwata, Arthur Richards, Tom Schouwenaars, Jonathan P. How
2007	C	`conf`	Embedding Health Management into Mission Tasking for UAV Teams. ACC Mario J. Valenti, Brett Bethke, Jonathan P. How, Daniela Pucci de Farias, John Vian
2007	C	`conf`	Ensemble-Based Adaptive Targeting of Mobile Sensor Networks. ACC Han-Lim Choi, Jonathan P. How, James A. Hansen
2007	C	`conf`	Robust Cooperative Decentralized Trajectory Optimization using Receding Horizon MILP. ACC Yoshiaki Kuwata, Jonathan P. How
2007	C	`conf`	Robust Receding Horizon Control using Generalized Constraint Tightening. ACC Yoshiaki Kuwata, Arthur Richards, Jonathan P. How
2007	J	`jnl`	Robust distributed model predictive control. Int. J. Control Arthur Richards, Jonathan P. How
2007	A*	`conf`	The MIT Indoor Multi-Vehicle Flight Testbed. ICRA Mario J. Valenti, Brett Bethke, Daniel Dale, Adrian A. Frank, James S. McGrew, Spencer Ahrens, Jonathan P. How, John Vian
2007	C	`conf`	Three-Dimensional Flight Experiments Using On-Line Mixed-Integer Linear Programming Trajectory Optimization. ACC Kieran Culligan, Mario J. Valenti, Yoshiaki Kuwata, Jonathan P. How
2006	—	`conf`	A Robust Approach to the UAV Task Assignment Problem. CDC Mehdi Alighanbari, Luca F. Bertuccelli, Jonathan P. How
2006	C	`conf`	An unbiased Kalman consensus algorithm. ACC Mehdi Alighanbari, Jonathan P. How
2006	—	`conf`	Decentralized Cooperative Trajectory Optimization for UAVs with Coupling Constraints. CDC Yoshiaki Kuwata, Jonathan P. How
2006	C	`conf`	Decentralized inventory control for large-scale supply chains. ACC Gökhan Inalhan, Jonathan P. How
2006	C	`conf`	Decentralized robust receding horizon control for multi-vehicle guidance. ACC Yoshiaki Kuwata, Arthur Richards, Tom Schouwenaars, Jonathan P. How
2006	J	`jnl`	Experimental demonstration of coordinated control for multi-vehicle teams. Int. J. Syst. Sci. Ellis King, Yoshiaki Kuwata, Jonathan P. How
2006	C	`conf`	Multi-vehicle path planning for non-line of sight communication. ACC Tom Schouwenaars, Eric Feron, Jonathan P. How
2006	C	`conf`	Robust stable model predictive control with constraint tightening. ACC Arthur Richards, Jonathan P. How
2006	C	`conf`	Search for dynamic targets with uncertain probability maps. ACC Luca F. Bertuccelli, Jonathan P. How
2006	—	`conf`	UAV Search for Dynamic Targets with Uncertain Motion Models. CDC Luca F. Bertuccelli, Jonathan P. How
2005	C	`conf`	Cooperative task assignment of unmanned aerial vehicles in adversarial environments. ACC Mehdi Alighanbari, Jonathan P. How
2005	—	`conf`	Decentralized Task Assignment for Unmanned Aerial Vehicles. CDC/ECC Mehdi Alighanbari, Jonathan P. How
2005	C	`conf`	Formation flying control for the MMS mission using GVE-based MPC. CCA Louis Breger, Jonathan P. How
2005	—	`conf`	Improving the Efficiency of Rapidly-exploring Random Trees Using a Potential Function Planner. CDC/ECC Ian Garcia, Jonathan P. How
2005	C	`conf`	Mixed-integer programming for control. ACC Arthur Richards, Jonathan P. How
2005	C	`conf`	Model predictive control of spacecraft formations with sensing noise. ACC Louis Breger, Jonathan P. How, Arthur Richards
2005	C	`conf`	Receding horizon implementation of MILP for vehicle guidance. ACC Yoshiaki Kuwata, Jonathan P. How
2005	—	`conf`	Robust UAV Search for Environments with Imprecise Probability Maps. CDC/ECC Luca F. Bertuccelli, Jonathan P. How
2005	C	`conf`	Robust model predictive control with imperfect information. ACC Arthur Richards, Jonathan P. How
2005	C	`conf`	Trajectory optimization for satellite reconfiguration maneuvers with position and attitude constraints. ACC Ian Garcia, Jonathan P. How
2004	C	`conf`	A decentralized algorithm for robust constrained model predictive control. ACC Arthur Richards, Jonathan P. How
2004	C	`conf`	Coordination and control experiments on a multi-vehicle testbed. ACC Ellis King, Yoshiaki Kuwata, Mehdi Alighanbari, Luca F. Bertuccelli, Jonathan P. How
2004	—	`conf`	Decentralized model predictive control of cooperating UAVs. CDC Arthur Richards, Jonathan P. How
2004	J	`jnl`	Hybrid Model for Trajectory Planning of Agile Autonomous Vehicles. J. Aerosp. Comput. Inf. Commun. Tom Schouwenaars, Bernard Mettler, Eric Feron, Jonathan P. How
2004	C	`conf`	Receding horizon path planning with implicit safety guarantees. ACC Tom Schouwenaars, Jonathan P. How, Eric Feron
2004	—	`conf`	Robust planning for coupled cooperative UAV missions. CDC Luca F. Bertuccelli, Mehdi Alighanbari, Jonathan P. How
2004	C	`conf`	Stable trajectory design for highly constrained environments using receding horizon control. ACC Yoshiaki Kuwata, Jonathan P. How
2003	C	`conf`	Coordination and control of multiple UAVs with timing constraints and loitering. ACC Mehdi Alighanbari, Yoshiaki Kuwata, Jonathan P. How
2003	C	`conf`	Distributed coordination and control of formation flying spacecraft. ACC Michael Tillerson, Louis Breger, Jonathan P. How
2003	C	`conf`	Model predictive control of vehicle maneuvers with guaranteed completion time and robust feasibility. ACC Arthur Richards, Jonathan P. How
2003	J	`jnl`	Modeling and H IEEE Trans. Control. Syst. Technol. Sungyung Lim, Jonathan P. How
2003	C	`conf`	Robust motion planning using a maneuver automation with built-in uncertainties. ACC Tom Schouwenaars, Bernard Mettler, Eric Feron, Jonathan P. How
2003	—	`conf`	Synthesis of piecewise-affine controllers for stabilization of nonlinear systems. CDC Luis Rodrigues, Jonathan P. How
2002	C	`conf`	Advanced guidance algorithms for spacecraft formation-keeping. ACC Michael Tillerson, Jonathan P. How
2002	C	`conf`	Aircraft trajectory planning with collision avoidance using mixed integer linear programming. ACC Arthur Richards, Jonathan P. How
2002	—	`conf`	Cooperative path planning for multiple UAVs in dynamic and uncertain environments. CDC John S. Bellingham, Michael Tillerson, Mehdi Alighanbari, Jonathan P. How
2002	C	`conf`	Receding horizon control of autonomous aerial vehicles. ACC John S. Bellingham, Arthur Richards, Jonathan P. How
2001	C	`conf`	Analysis of the impact of sensor noise on formation flying control. ACC Jonathan P. How, Michael Tillerson
2001	C	`conf`	Automated control design for a piecewise-affine approximation of a class of nonlinear systems. ACC Luis Rodrigues, Jonathan P. How
2001	J	`jnl`	Estimation-based synthesis of H∞-optimal adaptive FIR filters for filtered-LMS problems. IEEE Trans. Signal Process. Bijan Sayyarrodsari, Jonathan P. How, Babak Hassibi, Alain Carrier
2001	—	`conf`	Mixed integer programming for multi-vehicle path planning. ECC Tom Schouwenaars, Bart De Moor, Eric Feron, Jonathan P. How
2001	C	`conf`	Model free subspace based H ACC Bruce R. Woodley, Jonathan P. How, Robert L. Kosut
2001	—	`conf`	Observer-based control of piecewise-affine systems. CDC Luis Rodrigues, Jonathan P. How
2000	A*	`conf`	An Indoor Absolute Positioning System with No Line of Sight Restrictions and Building-Wide Coverage. ICRA Eric Prigge, Jonathan P. How
2000	C	`conf`	Control with random communication delays via a discrete-time jump system approach. ACC Lin Xiao, Arash Hassibi, Jonathan P. How
2000	C	`conf`	Estimation-based multi-channel adaptive algorithm for filtered-LMS problems. ACC Bijan Sayyarrodsari, Jonathan P. How, Babak Hassibi, Alain Carrier
2000	C	`conf`	Output feedback controller synthesis for piecewise-affine systems with multiple equilibria. ACC Luis Rodrigues, Arash Hassibi, Jonathan P. How
1996	J	`jnl`	Finite element model-based robust controllers for the middeck active control experiment (MACE). IEEE Trans. Control. Syst. Technol. Jonathan P. How, Roger Glaese, Simon C. O. Grocott, David W. Miller
1996	J	`jnl`	Optimal Popov controller analysis and synthesis for systems with real parameter uncertainties. IEEE Trans. Control. Syst. Technol. Jonathan P. How, Emmanuel G. Collins Jr., Wassim M. Haddad
1994	J	`jnl`	Robust controllers for the Middeck Active Control Experiment using Popov controller synthesis. IEEE Trans. Control. Syst. Technol. Jonathan P. How, Steven R. Hall, Wassim M. Haddad
1982	J	`jnl`	Elimination of False-Locking in Long Loop Phase-Locked Receivers. IEEE Trans. Commun. Joseph P. McGeehan, Jonathan P. How