Edward Schmerling

88 papers A* 12A 5C 6Misc 1Journal 52Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Language-Image Models with 3D Understanding. ICLR Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krähenbühl, Yan Wang, Marco Pavone
2025	J	`jnl`	Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation. CoRR Rachel Luo, Heng Yang, Michael Watson, Apoorva Sharma, Sushant Veer, Edward Schmerling, Marco Pavone
2025	A*	`conf`	Realistic Extreme Behavior Generation for Improved AV Testing. ICRA Robert Dyro, Matthew Foutter, Ruolin Li, Luigi Di Lillo, Edward Schmerling, Xilin Zhou, Marco Pavone
2024	J	`jnl`	Diagnostic Runtime Monitoring with Martingales. CoRR Ali Hindy, Rachel Luo, Somrita Banerjee, Jonathan Kuck, Edward Schmerling, Marco Pavone
2024	J	`jnl`	Language-Image Models with 3D Understanding. CoRR Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krähenbühl, Yan Wang, Marco Pavone
2024	A*	`conf`	Online Distribution Shift Detection via Recency Prediction. ICRA Rachel Luo, Rohan Sinha, Yixiao Sun, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone
2024	—	`conf`	Real-Time Anomaly Detection and Reactive Planning with Large Language Models. Robotics: Science and Systems Rohan Sinha, Amine Elhafsi, Christopher Agia, Matthew Foutter, Edward Schmerling, Marco Pavone
2024	J	`jnl`	Real-Time Anomaly Detection and Reactive Planning with Large Language Models. CoRR Rohan Sinha, Amine Elhafsi, Christopher Agia, Matthew Foutter, Edward Schmerling, Marco Pavone
2024	J	`jnl`	Realistic Extreme Behavior Generation for Improved AV Testing. CoRR Robert Dyro, Matthew Foutter, Ruolin Li, Luigi Di Lillo, Edward Schmerling, Xilin Zhou, Marco Pavone
2024	J	`jnl`	Sample-efficient safety assurances using conformal prediction. Int. J. Robotics Res. Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone
2024	Misc	`conf`	Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving. CoRL Ran Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone
2024	J	`jnl`	Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving. CoRR Ran Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone
2024	A*	`conf`	ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. ICRA Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone
2024	J	`jnl`	ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. CoRR Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone
2023	—	`conf`	Closing the Loop on Runtime Monitors with Fallback-Safe MPC. CDC Rohan Sinha, Edward Schmerling, Marco Pavone
2023	J	`jnl`	Closing the Loop on Runtime Monitors with Fallback-Safe MPC. CoRR Rohan Sinha, Edward Schmerling, Marco Pavone
2023	A*	`conf`	Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. ICRA John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone
2023	C	`conf`	Learning Autonomous Vehicle Safety Concepts from Demonstrations. ACC Karen Leung, Sushant Veer, Edward Schmerling, Marco Pavone
2023	—	`conf`	Leveraging Compositional Methods for Modeling and Verification of an Autonomous Taxi System. ICAA Alessandro Pinto, Anthony Corso, Edward Schmerling
2023	J	`jnl`	Leveraging Compositional Methods for Modeling and Verification of an Autonomous Taxi System. CoRR Alessandro Pinto, Anthony Corso, Edward Schmerling
2023	A*	`conf`	Motion Planning for a Climbing Robot with Stochastic Grasps. ICRA Stephanie Newdick, Nitin Ongole, Tony G. Chen, Edward Schmerling, Mark R. Cutkosky, Marco Pavone
2023	C	`conf`	Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition. IV Sever Topan, Yuxiao Chen, Edward Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone
2023	J	`jnl`	Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition. CoRR Sever Topan, Yuxiao Chen, Edward Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone
2023	—	`conf`	Robust Nonlinear Reduced-Order Model Predictive Control. CDC John Irvin Alora, Luis A. Pabon, Johannes Köhler, Mattia Cenedese, Edward Schmerling, Melanie N. Zeilinger, George Haller, Marco Pavone
2023	J	`jnl`	Robust Nonlinear Reduced-Order Model Predictive Control. CoRR John Irvin Alora, Luis A. Pabon, Johannes Köhler, Mattia Cenedese, Edward Schmerling, Melanie N. Zeilinger, George Haller, Marco Pavone
2023	J	`jnl`	Semantic Anomaly Detection with Large Language Models. CoRR Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa Nesnas, Marco Pavone
2023	J	`jnl`	Semantic anomaly detection with large language models. Auton. Robots Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa A. D. Nesnas, Marco Pavone
2022	J	`jnl`	A System-Level View on Out-of-Distribution Data in Robotics. CoRR Rohan Sinha, Apoorva Sharma, Somrita Banerjee, Thomas Lew, Rachel Luo, Spencer M. Richards, Yixiao Sun, Edward Schmerling, Marco Pavone
2022	A	`conf`	A Unified View of SDP-based Neural Network Verification through Completely Positive Programming. AISTATS Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone
2022	J	`jnl`	A Unified View of SDP-based Neural Network Verification through Completely Positive Programming. CoRR Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone
2022	J	`jnl`	CoCo: Online Mixed-Integer Control Via Supervised Learning. IEEE Robotics Autom. Lett. Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone
2022	—	`conf`	Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. ECCV Workshops (1) Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone
2022	J	`jnl`	Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. CoRR Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone
2022	J	`jnl`	Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. CoRR John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone
2022	J	`jnl`	Designing ReachBot: System Design Process with a Case Study of a Martian Lava Tube Mission. CoRR Stephanie Newdick, Tony G. Chen, Benjamin J. Hockman, Edward Schmerling, Mark R. Cutkosky, Marco Pavone
2022	C	`conf`	Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation. IV Sever Topan, Karen Leung, Yuxiao Chen, Pritish Tupekar, Edward Schmerling, Jonas Nilsson, Michael Cox, Marco Pavone
2022	J	`jnl`	Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation. CoRR Sever Topan, Karen Leung, Yuxiao Chen, Pritish Tupekar, Edward Schmerling, Jonas Nilsson, Michael Cox, Marco Pavone
2022	J	`jnl`	Learning Autonomous Vehicle Safety Concepts from Demonstrations. CoRR Karen Leung, Sushant Veer, Edward Schmerling, Marco Pavone
2022	A	`conf`	Local calibration: metrics and recalibration. UAI Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone
2022	J	`jnl`	Motion Planning for a Climbing Robot with Stochastic Grasps. CoRR Stephanie Newdick, Nitin Ongole, Tony G. Chen, Edward Schmerling, Mark R. Cutkosky, Marco Pavone
2022	J	`jnl`	Online Distribution Shift Detection via Recency Prediction. CoRR Rachel Luo, Rohan Sinha, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone
2022	C	`conf`	Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems. ISRR Albert Wu, Thomas Lew, Kiril Solovey, Edward Schmerling, Marco Pavone
2022	J	`jnl`	Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems. CoRR Albert Wu, Thomas Lew, Kiril Solovey, Edward Schmerling, Marco Pavone
2022	C	`conf`	Sample-Efficient Safety Assurances Using Conformal Prediction. WAFR Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone
2022	A	`conf`	Second-Order Sensitivity Analysis for Bilevel Optimization. AISTATS Robert Dyro, Edward Schmerling, Nikos Aréchiga, Marco Pavone
2022	J	`jnl`	Second-Order Sensitivity Analysis for Bilevel Optimization. CoRR Robert Dyro, Edward Schmerling, Nikos Aréchiga, Marco Pavone
2022	—	`conf`	Using Spectral Submanifolds for Nonlinear Periodic Control. CDC Florian Mahlknecht, John Irvin Alora, Shobhit Jain, Edward Schmerling, Riccardo Bonalli, George Haller, Marco Pavone
2022	J	`jnl`	Using Spectral Submanifolds for Nonlinear Periodic Control. CoRR Florian Mahlknecht, John Irvin Alora, Shobhit Jain, Edward Schmerling, Riccardo Bonalli, George Haller, Marco Pavone
2021	J	`jnl`	CoCo: Online Mixed-Integer Control via Supervised Learning. CoRR Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone
2021	J	`jnl`	Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach. IEEE Robotics Autom. Lett. Boris Ivanovic, Karen Leung, Edward Schmerling, Marco Pavone
2021	J	`jnl`	On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation. CoRR Thomas Lew, Apoorva Sharma, James Harrison, Edward Schmerling, Marco Pavone
2021	J	`jnl`	Sample-Efficient Safety Assurances using Conformal Prediction. CoRR Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone
2021	J	`jnl`	Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts. CoRR Andrea Bajcsy, Karen Leung, Edward Schmerling, Marco Pavone
2020	A*	`conf`	Learned Critical Probabilistic Roadmaps for Robotic Motion Planning. ICRA Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust
2020	J	`jnl`	Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach. CoRR Boris Ivanovic, Karen Leung, Edward Schmerling, Marco Pavone
2020	J	`jnl`	On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions. CoRR Karen Leung, Edward Schmerling, Mengxuan Zhang, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone
2020	J	`jnl`	On infusing reachability-based safety assurance within planning frameworks for human-robot vehicle interactions. Int. J. Robotics Res. Karen Leung, Edward Schmerling, Mengxuan Zhang, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone
2020	A*	`conf`	Revisiting the Asymptotic Optimality of RRT. ICRA Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone
2019	J	`jnl`	Learned Critical Probabilistic Roadmaps for Robotic Motion Planning. CoRR Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust
2019	J	`jnl`	Revisiting the Asymptotic Optimality of RRT. CoRR Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone
2018	A	`conf`	Generative Modeling of Multimodal Multi-Human Behavior. IROS Boris Ivanovic, Edward Schmerling, Karen Leung, Marco Pavone
2018	J	`jnl`	Generative Modeling of Multimodal Multi-Human Behavior. CoRR Boris Ivanovic, Edward Schmerling, Karen Leung, Marco Pavone
2018	A*	`conf`	Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction. ICRA Edward Schmerling, Karen Leung, Wolf Vollprecht, Marco Pavone
2018	—	`conf`	On Infusing Reachability-Based Safety Assurance Within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions. ISER Karen Leung, Edward Schmerling, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone
2018	J	`jnl`	On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions. CoRR Karen Leung, Edward Schmerling, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone
2017	—	`conf`	Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning. Robotics: Science and Systems Edward Schmerling, Marco Pavone
2017	—	`conf`	Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs. IRC Brian Ichter, Edward Schmerling, Marco Pavone
2017	J	`jnl`	Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs. CoRR Brian Ichter, Edward Schmerling, Marco Pavone
2017	J	`jnl`	Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction. CoRR Edward Schmerling, Karen Leung, Wolf Vollprecht, Marco Pavone
2017	C	`conf`	Perception-Aware Motion Planning via Multiobjective Search on GPUs. ISRR Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone
2017	A*	`conf`	Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs. ICRA Brian Ichter, Edward Schmerling, Ali-Akbar Agha-Mohammadi, Marco Pavone
2017	J	`jnl`	Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs. CoRR Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone
2016	J	`jnl`	Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning. CoRR Edward Schmerling, Marco Pavone
2016	J	`jnl`	Fast, Safe, and Propellant-Efficient Spacecraft Planning under Clohessy-Wiltshire-Hill Dynamics. CoRR Joseph A. Starek, Edward Schmerling, Gabriel D. Maher, Brent W. Barbee, Marco Pavone
2016	J	`jnl`	Real-Time Stochastic Kinodynamic Motion Planning via Multiobjective Search on GPUs. CoRR Brian Ichter, Edward Schmerling, Ali-Akbar Agha-Mohammadi, Marco Pavone
2015	J	`jnl`	A Convex Optimization Approach to Smooth Trajectories for Motion Planning with Car-Like Robots. CoRR Zhijie Zhu, Edward Schmerling, Marco Pavone
2015	—	`conf`	A convex optimization approach to smooth trajectories for motion planning with car-like robots. CDC Zhijie Zhu, Edward Schmerling, Marco Pavone
2015	J	`jnl`	An Asymptotically-Optimal Sampling-Based Algorithm for Bi-directional Motion Planning. CoRR Joseph A. Starek, Javier V. Gómez, Edward Schmerling, Lucas Janson, Luis Moreno, Marco Pavone
2015	A	`conf`	An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning. IROS Joseph A. Starek, Javier V. Gómez, Edward Schmerling, Lucas Janson, Luis Moreno, Marco Pavone
2015	J	`jnl`	Decentralized Algorithms for 3D Symmetric Formations in Robotic Networks: a Contraction Theory Approach. CoRR Sumeet Singh, Edward Schmerling, Marco Pavone
2015	A*	`conf`	Decentralized algorithms for 3D symmetric formations in robotic networks - a contraction theory approach. ICRA Sumeet Singh, Edward Schmerling, Marco Pavone
2015	J	`jnl`	Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions. Int. J. Robotics Res. Lucas Janson, Edward Schmerling, Ashley A. Clark, Marco Pavone
2015	—	`conf`	Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty. ISRR (2) Lucas Janson, Edward Schmerling, Marco Pavone
2015	J	`jnl`	Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty. CoRR Lucas Janson, Edward Schmerling, Marco Pavone
2015	—	`conf`	Optimal sampling-based motion planning under differential constraints: The drift case with linear affine dynamics. CDC Edward Schmerling, Lucas Janson, Marco Pavone
2015	A*	`conf`	Optimal sampling-based motion planning under differential constraints: The driftless case. ICRA Edward Schmerling, Lucas Janson, Marco Pavone
2014	J	`jnl`	Optimal Sampling-Based Motion Planning under Differential Constraints: the Drift Case with Linear Affine Dynamics. CoRR Edward Schmerling, Lucas Janson, Marco Pavone
2014	J	`jnl`	Optimal Sampling-Based Motion Planning under Differential Constraints: the Driftless Case. CoRR Edward Schmerling, Lucas Janson, Marco Pavone