Edward Schmerling

According to our database, Edward Schmerling authored at least 49 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sample-efficient safety assurances using conformal prediction.

Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone

Int. J. Robotics Res., 2024

Realistic Extreme Behavior Generation for Improved AV Testing.

Robert Dyro, Matthew Foutter, Ruolin Li, Luigi Di Lillo, Edward Schmerling, Xilin Zhou, Marco Pavone

CoRR, 2024

Diagnostic Runtime Monitoring with Martingales.

Ali Hindy, Rachel Luo, Somrita Banerjee, Jonathan Kuck, Edward Schmerling, Marco Pavone

CoRR, 2024

Real-Time Anomaly Detection and Reactive Planning with Large Language Models.

Rohan Sinha, Amine Elhafsi, Christopher Agia, Matthew Foutter, Edward Schmerling, Marco Pavone

CoRR, 2024

Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving.

Ran Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone

CoRR, 2024

Language-Image Models with 3D Understanding.

Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krähenbühl, Yan Wang, Marco Pavone

CoRR, 2024

ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics.

Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Online Distribution Shift Detection via Recency Prediction.

Rachel Luo, Rohan Sinha, Yixiao Sun, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Semantic anomaly detection with large language models.

Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa A. D. Nesnas, Marco Pavone

Auton. Robots, December, 2023

Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition.

Sever Topan, Yuxiao Chen, Edward Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Motion Planning for a Climbing Robot with Stochastic Grasps.

Stephanie Newdick, Nitin Ongole, Tony G. Chen, Edward Schmerling, Mark R. Cutkosky, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots.

John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Leveraging Compositional Methods for Modeling and Verification of an Autonomous Taxi System.

Alessandro Pinto, Anthony Corso, Edward Schmerling

Proceedings of the IEEE International Conference on Assured Autonomy, 2023

Closing the Loop on Runtime Monitors with Fallback-Safe MPC.

Rohan Sinha, Edward Schmerling, Marco Pavone

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Robust Nonlinear Reduced-Order Model Predictive Control.

John Irvin Alora, Luis A. Pabon, Johannes Köhler, Mattia Cenedese, Edward Schmerling, Melanie N. Zeilinger, George Haller, Marco Pavone

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Learning Autonomous Vehicle Safety Concepts from Demonstrations.

Karen Leung, Sushant Veer, Edward Schmerling, Marco Pavone

Proceedings of the American Control Conference, 2023

2022

CoCo: Online Mixed-Integer Control Via Supervised Learning.

Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone

IEEE Robotics Autom. Lett., 2022

A System-Level View on Out-of-Distribution Data in Robotics.

Rohan Sinha, Apoorva Sharma, Somrita Banerjee, Thomas Lew, Rachel Luo, Spencer M. Richards, Yixiao Sun, Edward Schmerling, Marco Pavone

CoRR, 2022

Online Distribution Shift Detection via Recency Prediction.

Rachel Luo, Rohan Sinha, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone

CoRR, 2022

Designing ReachBot: System Design Process with a Case Study of a Martian Lava Tube Mission.

Stephanie Newdick, Tony G. Chen, Benjamin J. Hockman, Edward Schmerling, Mark R. Cutkosky, Marco Pavone

CoRR, 2022

Local calibration: metrics and recalibration.

Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation.

Sever Topan, Karen Leung, Yuxiao Chen, Pritish Tupekar, Edward Schmerling, Jonas Nilsson, Michael Cox, Marco Pavone

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems.

Albert Wu, Thomas Lew, Kiril Solovey, Edward Schmerling, Marco Pavone

Proceedings of the Robotics Research, 2022

Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications.

Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Using Spectral Submanifolds for Nonlinear Periodic Control.

Florian Mahlknecht, John Irvin Alora, Shobhit Jain, Edward Schmerling, Riccardo Bonalli, George Haller, Marco Pavone

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Second-Order Sensitivity Analysis for Bilevel Optimization.

Robert Dyro, Edward Schmerling, Nikos Aréchiga, Marco Pavone

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

A Unified View of SDP-based Neural Network Verification through Completely Positive Programming.

Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach.

Boris Ivanovic, Karen Leung, Edward Schmerling, Marco Pavone

IEEE Robotics Autom. Lett., 2021

On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation.

Thomas Lew, Apoorva Sharma, James Harrison, Edward Schmerling, Marco Pavone

CoRR, 2021

Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts.

Andrea Bajcsy, Karen Leung, Edward Schmerling, Marco Pavone

CoRR, 2021

2020

On infusing reachability-based safety assurance within planning frameworks for human-robot vehicle interactions.

Karen Leung, Edward Schmerling, Mengxuan Zhang, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone

Int. J. Robotics Res., 2020

Revisiting the Asymptotic Optimality of RRT.

Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learned Critical Probabilistic Roadmaps for Robotic Motion Planning.

Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2018

On Infusing Reachability-Based Safety Assurance Within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions.

Karen Leung, Edward Schmerling, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Generative Modeling of Multimodal Multi-Human Behavior.

Boris Ivanovic, Edward Schmerling, Karen Leung, Marco Pavone

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction.

Edward Schmerling, Karen Leung, Wolf Vollprecht, Marco Pavone

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs.

Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone

CoRR, 2017

Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning.

Edward Schmerling, Marco Pavone

Proceedings of the Robotics: Science and Systems XIII, 2017

Perception-Aware Motion Planning via Multiobjective Search on GPUs.

Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs.

Brian Ichter, Edward Schmerling, Marco Pavone

Proceedings of the First IEEE International Conference on Robotic Computing, 2017

Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs.

Brian Ichter, Edward Schmerling, Ali-akbar Agha-mohammadi, Marco Pavone

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Fast, Safe, and Propellant-Efficient Spacecraft Planning under Clohessy-Wiltshire-Hill Dynamics.

Joseph A. Starek, Edward Schmerling, Gabriel D. Maher, Brent W. Barbee, Marco Pavone

CoRR, 2016

2015

Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions.

Lucas Janson, Edward Schmerling, Ashley A. Clark, Marco Pavone

Int. J. Robotics Res., 2015

Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty.

Lucas Janson, Edward Schmerling, Marco Pavone

Proceedings of the Robotics Research, 2015

An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning.

Joseph A. Starek, Javier V. Gómez, Edward Schmerling, Lucas Janson, Luis Moreno, Marco Pavone

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Decentralized algorithms for 3D symmetric formations in robotic networks - a contraction theory approach.

Sumeet Singh, Edward Schmerling, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Optimal sampling-based motion planning under differential constraints: The driftless case.

Edward Schmerling, Lucas Janson, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

A convex optimization approach to smooth trajectories for motion planning with car-like robots.

Zhijie Zhu, Edward Schmerling, Marco Pavone

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Optimal sampling-based motion planning under differential constraints: The drift case with linear affine dynamics.

Edward Schmerling, Lucas Janson, Marco Pavone

Proceedings of the 54th IEEE Conference on Decision and Control, 2015