Michael Everett

89 papers A* 9A 6C 3Misc 1Journal 61Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SCRAMPPI: Efficient Contingency Planning for Mobile Robot Navigation via Hamilton-Jacobi Reachability. CoRR Raj Harshit Srirangam, Leonard Jung, Rohith Poola, Michael Everett
2025	—	`conf`	A Hybrid Framework for Efficient Koopman Operator Learning. CDC Leonard Jung, Alenna Spiro, Alexander Estornell, Michael Everett, Mario Sznaier
2025	J	`jnl`	A Hybrid Framework for Efficient Koopman Operator Learning. CoRR Alexander Estornell, Leonard Jung, Alenna Spiro, Mario Sznaier, Michael Everett
2025	J	`jnl`	Active Learning For Repairable Hardware Systems With Partial Coverage. CoRR Michael Potter, Beyza Kalkanli, Deniz Erdogmus, Michael Everett
2025	—	`conf`	Adversarial Decoy Placement for Strategic State Perturbations in Artificial Intelligence Driven Defense. CDC Armita Kazeminajafabadi, Michael Everett, Tian Lan, Nathaniel D. Bastian, Mahdi Imani
2025	J	`jnl`	Chance-Constrained Convex MPC for Robust Quadruped Locomotion Under Parametric and Additive Uncertainties. IEEE Robotics Autom. Lett. Ananya Trivedi, Sarvesh Prajapati, Mark Zolotas, Michael Everett, Taskin Padir
2025	—	`conf`	Contingency Constrained Planning with MPPI within MPPI. L4DC Leonard Jung, Alexander Estornell, Michael Everett
2025	J	`jnl`	Continuously Optimizing Radar Placement With Model-Predictive Path Integrals. IEEE Trans. Aerosp. Electron. Syst. Michael Potter, Shuo Tang, Paul Ghanem, Milica Stojanovic, Pau Closas, Murat Akçakaya, Ben Wright, Marius Necsoiu, Deniz Erdogmus, Michael Everett, Tales Imbiriba
2025	J	`jnl`	Learning Smooth State-Dependent Traversability from Dense Point Clouds. CoRR Zihao Dong, Alan Papalia, Leonard Jung, Alenna Spiro, Philip R. Osteen, Christa S. Robison, Michael Everett
2025	—	`conf`	Learning Verifiable Control Policies Using Relaxed Verification. CDC Puja Chaudhury, Alexander Estornell, Michael Everett
2025	J	`jnl`	Learning Verifiable Control Policies Using Relaxed Verification. CoRR Puja Chaudhury, Alexander Estornell, Michael Everett
2025	A*	`conf`	LiDAR Inertial Odometry and Mapping Using Learned Registration-Relevant Features. ICRA Zihao Dong, Jeff Pflueger, Leonard Jung, David Thorne, Philip R. Osteen, Christa S. Robison, Brett Thomas Lopez, Michael Everett
2025	J	`jnl`	Practical and Performant Enhancements for Maximization of Algebraic Connectivity. CoRR Leonard Jung, Alan Papalia, Kevin J. Doherty, Michael Everett
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	J	`jnl`	Real-Time Adaptive Motion Planning via Point Cloud-Guided, Energy-Based Diffusion and Potential Fields. CoRR Wondmgezahu Teshome, Kian Behzad, Octavia I. Camps, Michael Everett, Milad Siami, Mario Sznaier
2025	J	`jnl`	Real-Time Adaptive Motion Planning via Point Cloud-Guided, Energy-Based Diffusion and Potential Fields. IEEE Robotics Autom. Lett. Wondmgezahu Teshome, Kian Behzad, Octavia I. Camps, Michael Everett, Milad Siami, Mario Sznaier
2025	J	`jnl`	Safety Assessment in Reinforcement Learning via Model Predictive Control. CoRR Jeff Pflueger, Michael Everett
2025	J	`jnl`	Sparse Variable Projection in Robotic Perception: Exploiting Separable Structure for Efficient Nonlinear Optimization. CoRR Alan Papalia, Nikolas Sanderson, Haoyu Han, Heng Yang, Hanumant Singh, Michael Everett
2025	—	`conf`	Survival Analysis with Adversarial Regularization. ICHI Michael Potter, Stefano Maxenti, Michael Everett
2025	J	`jnl`	Uncertainty-Aware Ankle Exoskeleton Control. CoRR Fatima Mumtaza Tourk, Bishoy Galoaa, Sanat Shajan, Aaron J. Young, Michael Everett, Max K. Shepherd
2025	J	`jnl`	Verification of Visual Controllers via Compositional Geometric Transformations. CoRR Alexander Estornell, Leonard Jung, Michael Everett
2024	J	`jnl`	Chance-Constrained Convex MPC for Robust Quadruped Locomotion Under Parametric and Additive Uncertainties. CoRR Ananya Trivedi, Sarvesh Prajapati, Mark Zolotas, Michael Everett, Taskin Padir
2024	J	`jnl`	Collision Avoidance Verification of Multiagent Systems With Learned Policies. IEEE Control. Syst. Lett. Zihao Dong, Shayegan Omidshafiei, Michael Everett
2024	J	`jnl`	Collision Avoidance Verification of Multiagent Systems with Learned Policies. CoRR Zihao Dong, Shayegan Omidshafiei, Michael Everett
2024	J	`jnl`	Contingency Constrained Planning with MPPI within MPPI. CoRR Leonard Jung, Alexander Estornell, Michael Everett
2024	J	`jnl`	Continuously Optimizing Radar Placement with Model Predictive Path Integrals. CoRR Michael Potter, Shuo Tang, Paul Ghanem, Milica Stojanovic, Pau Closas, Murat Akçakaya, Ben Wright, Marius Necsoiu, Deniz Erdogmus, Michael Everett, Tales Imbiriba
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`	LiDAR Inertial Odometry And Mapping Using Learned Registration-Relevant Features. CoRR Zihao Dong, Jeff Pflueger, Leonard Jung, David Thorne, Philip R. Osteen, Christa S. Robison, Brett T. Lopez, Michael Everett
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`	DRIP: Domain Refinement Iteration With Polytopes for Backward Reachability Analysis of Neural Feedback Loops. IEEE Control. Syst. Lett. Michael Everett, Rudy Bunel, Shayegan Omidshafiei
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`	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`	Robust Survival Analysis with Adversarial Regularization. CoRR Michael Potter, Stefano Maxenti, Michael Everett
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	J	`jnl`	DRIP: Domain Refinement Iteration with Polytopes for Backward Reachability Analysis of Neural Feedback Loops. CoRR Michael Everett, Rudy Bunel, Shayegan Omidshafiei
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	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	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`	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`	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
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`	Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. CoRR Andrea Tagliabue, Dong-Ki Kim, Michael Everett, 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	—	`conf`	Neural Network Verification in Control. CDC Michael Everett
2021	J	`jnl`	Neural Network Verification in Control. CoRR Michael Everett
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`	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`	Certified Adversarial Robustness for Deep Reinforcement Learning. CoRR Michael Everett, Björn Lütjens, 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`	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`	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
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	J	`jnl`	Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning. CoRR Michael Everett, Yu Fan Chen, 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`	Safe Reinforcement Learning With Model Uncertainty Estimates. ICRA Björn Lütjens, Michael Everett, 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	J	`jnl`	Safe Reinforcement Learning with Model Uncertainty Estimates. CoRR Björn Lütjens, Michael Everett, Jonathan P. How
2018	J	`jnl`	Three-Dimensional UAV Routing With Deconfliction. IEEE Access Sohail Razzaq, Costas Xydeas, Michael Everett, Anzar Mahmood, Thamer Alquthami
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	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
2016	J	`jnl`	Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning. CoRR Yu Fan Chen, Miao Liu, Michael Everett, Jonathan P. How
2014	—	`conf`	Seeing around corners with a mobile phone?: synthetic aperture audio imaging. SIGGRAPH Posters Hisham Bedri, Micha Feigin, Michael Everett, Ivan Filho, Gregory L. Charvat, Ramesh Raskar
2013	C	`conf`	A community college blended learning classroom experience through Artificial Intelligence in Games. FIE Titus Barik, Michael Everett, Rogelio Enrique Cardona-Rivera, David L. Roberts, Edward F. Gehringer
2008	—	`conf`	A Passive Approach to Autonomous Collision Detection and Avoidance. UKSim Plamen Angelov, Cosmin Danut Bocaniala, Costas S. Xydeas, Charles Patchett, Darren Ansell, Michael Everett, Gang Leng
2006	A	`conf`	Loudmouth: : modifying text-to-speech synthesis in noise. ASSETS Rupal Patel, Michael Everett, Eldar Sadikov