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Edward Schmerling
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2020 – today
- 2024
- [j6]Rachel Luo
, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone
Sample-efficient safety assurances using conformal prediction. Int. J. Robotics Res. 43(9): 1409-1424 (2024) - [c32]Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone:
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. ICRA 2024: 9285-9292 - [c31]Rachel Luo, Rohan Sinha, Yixiao Sun, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone:
Online Distribution Shift Detection via Recency Prediction. ICRA 2024: 16251-16263 - [i45]Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krähenbühl, Yan Wang, Marco Pavone:
Language-Image Models with 3D Understanding. CoRR abs/2405.03685 (2024) - [i44]Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone:
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. CoRR abs/2406.01814 (2024) - [i43]Ran Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone:
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving. CoRR abs/2407.00959 (2024) - [i42]Rohan Sinha, Amine Elhafsi, Christopher Agia, Matthew Foutter, Edward Schmerling, Marco Pavone:
Real-Time Anomaly Detection and Reactive Planning with Large Language Models. CoRR abs/2407.08735 (2024) - [i41]Ali Hindy, Rachel Luo, Somrita Banerjee, Jonathan Kuck, Edward Schmerling, Marco Pavone:
Diagnostic Runtime Monitoring with Martingales. CoRR abs/2407.21748 (2024) - [i40]Robert Dyro, Matthew Foutter, Ruolin Li, Luigi Di Lillo, Edward Schmerling, Xilin Zhou, Marco Pavone:
Realistic Extreme Behavior Generation for Improved AV Testing. CoRR abs/2409.10669 (2024) - 2023
- [j5]Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa A. D. Nesnas, Marco Pavone
Semantic anomaly detection with large language models. Auton. Robots 47(8): 1035-1055 (2023) - [c30]Karen Leung, Sushant Veer, Edward Schmerling, Marco Pavone:
Learning Autonomous Vehicle Safety Concepts from Demonstrations. ACC 2023: 3193-3200 - [c29]John Irvin Alora, Luis A. Pabon, Johannes Köhler
Robust Nonlinear Reduced-Order Model Predictive Control. CDC 2023: 4798-4805 - [c28]Rohan Sinha, Edward Schmerling, Marco Pavone
Closing the Loop on Runtime Monitors with Fallback-Safe MPC. CDC 2023: 6533-6540 - [c27]Alessandro Pinto, Anthony Corso, Edward Schmerling:
Leveraging Compositional Methods for Modeling and Verification of an Autonomous Taxi System. ICAA 2023: 34-43 - [c26]John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone
Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. ICRA 2023: 2627-2633 - [c25]Stephanie Newdick, Nitin Ongole, Tony G. Chen, Edward Schmerling, Mark R. Cutkosky, Marco Pavone
Motion Planning for a Climbing Robot with Stochastic Grasps. ICRA 2023: 11838-11844 - [c24]Sever Topan, Yuxiao Chen, Edward Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone:
Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition. IV 2023: 1-8 - [i39]Alessandro Pinto
Leveraging Compositional Methods for Modeling and Verification of an Autonomous Taxi System. CoRR abs/2304.13517 (2023) - [i38]Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa Nesnas, Marco Pavone:
Semantic Anomaly Detection with Large Language Models. CoRR abs/2305.11307 (2023) - [i37]Sever Topan, Yuxiao Chen, Edward Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone:
Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition. CoRR abs/2308.06337 (2023) - [i36]John Irvin Alora, Luis A. Pabon, Johannes Köhler
Robust Nonlinear Reduced-Order Model Predictive Control. CoRR abs/2309.05746 (2023) - [i35]Rohan Sinha, Edward Schmerling, Marco Pavone:
Closing the Loop on Runtime Monitors with Fallback-Safe MPC. CoRR abs/2309.08603 (2023) - 2022
- [j4]Abhishek Cauligi
CoCo: Online Mixed-Integer Control Via Supervised Learning. IEEE Robotics Autom. Lett. 7(2): 1447-1454 (2022) - [c23]Robert Dyro, Edward Schmerling, Nikos Aréchiga, Marco Pavone:
Second-Order Sensitivity Analysis for Bilevel Optimization. AISTATS 2022: 9166-9181 - [c22]Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone:
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming. AISTATS 2022: 9334-9355 - [c21]Florian Mahlknecht, John Irvin Alora, Shobhit Jain
Using Spectral Submanifolds for Nonlinear Periodic Control. CDC 2022: 6548-6555 - [c20]Somrita Banerjee
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. ECCV Workshops (1) 2022: 127-142 - [c19]Albert Wu, Thomas Lew, Kiril Solovey, Edward Schmerling, Marco Pavone
Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems. ISRR 2022: 538-554 - [c18]Sever Topan, Karen Leung, Yuxiao Chen, Pritish Tupekar, Edward Schmerling, Jonas Nilsson, Michael Cox, Marco Pavone:
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation. IV 2022: 1201-1210 - [c17]Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone:
Local calibration: metrics and recalibration. UAI 2022: 1286-1295 - [c16]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone
Sample-Efficient Safety Assurances Using Conformal Prediction. WAFR 2022: 149-169 - [i34]Robin A. Brown, Edward Schmerling, Navid Azizan
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming. CoRR abs/2203.03034 (2022) - [i33]Robert Dyro, Edward Schmerling, Nikos Aréchiga, Marco Pavone:
Second-Order Sensitivity Analysis for Bilevel Optimization. CoRR abs/2205.02329 (2022) - [i32]Albert Wu, Thomas Lew, Kiril Solovey, Edward Schmerling, Marco Pavone:
Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems. CoRR abs/2205.07728 (2022) - [i31]Sever Topan, Karen Leung, Yuxiao Chen, Pritish Tupekar, Edward Schmerling, Jonas Nilsson, Michael Cox, Marco Pavone:
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation. CoRR abs/2206.12471 (2022) - [i30]John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone:
Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. CoRR abs/2209.05712 (2022) - [i29]Florian Mahlknecht, John Irvin Alora, Shobhit Jain, Edward Schmerling, Riccardo Bonalli, George Haller, Marco Pavone:
Using Spectral Submanifolds for Nonlinear Periodic Control. CoRR abs/2209.06573 (2022) - [i28]Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone:
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. CoRR abs/2209.06855 (2022) - [i27]Stephanie Newdick, Nitin Ongole, Tony G. Chen, Edward Schmerling, Mark R. Cutkosky, Marco Pavone:
Motion Planning for a Climbing Robot with Stochastic Grasps. CoRR abs/2209.10687 (2022) - [i26]Karen Leung, Sushant Veer, Edward Schmerling, Marco Pavone:
Learning Autonomous Vehicle Safety Concepts from Demonstrations. CoRR abs/2210.02761 (2022) - [i25]Stephanie Newdick, Tony G. Chen, Benjamin J. Hockman, Edward Schmerling, Mark R. Cutkosky, Marco Pavone:
Designing ReachBot: System Design Process with a Case Study of a Martian Lava Tube Mission. CoRR abs/2210.11534 (2022) - [i24]Rachel Luo, Rohan Sinha, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone:
Online Distribution Shift Detection via Recency Prediction. CoRR abs/2211.09916 (2022) - [i23]Rohan Sinha, Apoorva Sharma, Somrita Banerjee, Thomas Lew, Rachel Luo, Spencer M. Richards, Yixiao Sun, Edward Schmerling, Marco Pavone:
A System-Level View on Out-of-Distribution Data in Robotics. CoRR abs/2212.14020 (2022) - 2021
- [j3]Boris Ivanovic
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach. IEEE Robotics Autom. Lett. 6(1): 295-302 (2021) - [i22]Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone:
CoCo: Online Mixed-Integer Control via Supervised Learning. CoRR abs/2107.08143 (2021) - [i21]Andrea Bajcsy, Karen Leung, Edward Schmerling, Marco Pavone:
Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts. CoRR abs/2107.14412 (2021) - [i20]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone:
Sample-Efficient Safety Assurances using Conformal Prediction. CoRR abs/2109.14082 (2021) - [i19]Thomas Lew, Apoorva Sharma, James Harrison, Edward Schmerling, Marco Pavone:
On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation. CoRR abs/2111.06084 (2021) - 2020
- [j2]Karen Leung
On infusing reachability-based safety assurance within planning frameworks for human-robot vehicle interactions. Int. J. Robotics Res. 39(10-11) (2020) - [c15]Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone:
Revisiting the Asymptotic Optimality of RRT. ICRA 2020: 2189-2195 - [c14]Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning. ICRA 2020: 9535-9541 - [i18]Boris Ivanovic, Karen Leung, Edward Schmerling, Marco Pavone:
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach. CoRR abs/2008.03880 (2020) - [i17]Karen Leung, Edward Schmerling, Mengxuan Zhang, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone:
On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions. CoRR abs/2012.03390 (2020)
2010 – 2019
- 2019
- [i16]Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone:
Revisiting the Asymptotic Optimality of RRT. CoRR abs/1909.09688 (2019) - [i15]Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust:
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning. CoRR abs/1910.03701 (2019) - 2018
- [c13]Edward Schmerling, Karen Leung, Wolf Vollprecht, Marco Pavone:
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction. ICRA 2018: 1-9 - [c12]Boris Ivanovic, Edward Schmerling, Karen Leung, Marco Pavone:
Generative Modeling of Multimodal Multi-Human Behavior. IROS 2018: 3088-3095 - [c11]Karen Leung, Edward Schmerling, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone
On Infusing Reachability-Based Safety Assurance Within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions. ISER 2018: 561-574 - [i14]Boris Ivanovic, Edward Schmerling, Karen Leung, Marco Pavone:
Generative Modeling of Multimodal Multi-Human Behavior. CoRR abs/1803.02015 (2018) - [i13]Karen Leung, Edward Schmerling, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone:
On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions. CoRR abs/1812.11315 (2018) - 2017
- [c10]Brian Ichter, Edward Schmerling, Ali-akbar Agha-mohammadi, Marco Pavone:
Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs. ICRA 2017: 5019-5026 - [c9]Brian Ichter, Edward Schmerling, Marco Pavone
Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs. IRC 2017: 219-226 - [c8]Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone
Perception-Aware Motion Planning via Multiobjective Search on GPUs. ISRR 2017: 895-912 - [c7]Edward Schmerling, Marco Pavone:
Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning. Robotics: Science and Systems 2017 - [i12]Brian Ichter, Edward Schmerling, Marco Pavone:
Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs. CoRR abs/1705.02403 (2017) - [i11]Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone:
Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs. CoRR abs/1705.02408 (2017) - [i10]Edward Schmerling, Karen Leung, Wolf Vollprecht, Marco Pavone:
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction. CoRR abs/1710.09483 (2017) - 2016
- [i9]Joseph A. Starek, Edward Schmerling, Gabriel D. Maher, Brent W. Barbee, Marco Pavone:
Fast, Safe, and Propellant-Efficient Spacecraft Planning under Clohessy-Wiltshire-Hill Dynamics. CoRR abs/1601.00042 (2016) - [i8]Brian Ichter, Edward Schmerling, Ali-akbar Agha-mohammadi, Marco Pavone:
Real-Time Stochastic Kinodynamic Motion Planning via Multiobjective Search on GPUs. CoRR abs/1607.06886 (2016) - [i7]Edward Schmerling, Marco Pavone:
Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning. CoRR abs/1609.05399 (2016) - 2015
- [j1]Lucas Janson, Edward Schmerling, Ashley A. Clark, Marco Pavone
Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions. Int. J. Robotics Res. 34(7): 883-921 (2015) - [c6]Zhijie Zhu, Edward Schmerling, Marco Pavone:
A convex optimization approach to smooth trajectories for motion planning with car-like robots. CDC 2015: 835-842 - [c5]Edward Schmerling, Lucas Janson, Marco Pavone:
Optimal sampling-based motion planning under differential constraints: The drift case with linear affine dynamics. CDC 2015: 2574-2581 - [c4]Sumeet Singh, Edward Schmerling, Marco Pavone:
Decentralized algorithms for 3D symmetric formations in robotic networks - a contraction theory approach. ICRA 2015: 1274-1281 - [c3]Edward Schmerling, Lucas Janson, Marco Pavone:
Optimal sampling-based motion planning under differential constraints: The driftless case. ICRA 2015: 2368-2375 - [c2]Joseph A. Starek, Javier V. Gómez, Edward Schmerling, Lucas Janson, Luis Moreno
An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning. IROS 2015: 2072-2078 - [c1]Lucas Janson, Edward Schmerling, Marco Pavone
Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty. ISRR (2) 2015: 343-361 - [i6]Lucas Janson, Edward Schmerling, Marco Pavone:
Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty. CoRR abs/1504.08053 (2015) - [i5]Zhijie Zhu, Edward Schmerling, Marco Pavone:
A Convex Optimization Approach to Smooth Trajectories for Motion Planning with Car-Like Robots. CoRR abs/1506.01085 (2015) - [i4]Joseph A. Starek, Javier V. Gómez, Edward Schmerling, Lucas Janson, Luis Moreno, Marco Pavone:
An Asymptotically-Optimal Sampling-Based Algorithm for Bi-directional Motion Planning. CoRR abs/1507.07602 (2015) - [i3]Sumeet Singh, Edward Schmerling, Marco Pavone:
Decentralized Algorithms for 3D Symmetric Formations in Robotic Networks: a Contraction Theory Approach. CoRR abs/1511.02547 (2015) - 2014
- [i2]Edward Schmerling, Lucas Janson, Marco Pavone:
Optimal Sampling-Based Motion Planning under Differential Constraints: the Driftless Case. CoRR abs/1403.2483 (2014) - [i1]Edward Schmerling, Lucas Janson, Marco Pavone:
Optimal Sampling-Based Motion Planning under Differential Constraints: the Drift Case with Linear Affine Dynamics. CoRR abs/1405.7421 (2014)
Coauthor Index
[j6] [c32] [c31] [i45] [i44] [i43] [i42] [i41] [i40] [j5] [c30] [c29] [c28] [c26] [c25] [c24] [i38] [i37] [i36] [i35] [j4] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [j3] [i22] [i21] [i20] [i19] [j2] [c15] [i18] [i17] [i16] [c13] [c12] [c11] [i14] [i13] [c10] [c9] [c8] [c7] [i12] [i11] [i10] [i9] [i8] [i7] [j1] [c6] [c5] [c4] [c3] [c2] [c1] [i6] [i5] [i4] [i3] [i2] [i1]
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last updated on 2024-10-22 20:14 CEST by the dblp team
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