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ORCIDJoel W. Burdick
- > Home > Persons > Joel W. Burdick
Publications
- 2024
[j64]Prithvi Akella
, Anushri Dixit, Mohamadreza Ahmadi, Joel W. Burdick, Aaron D. Ames:
Sample-based bounds for coherent risk measures: Applications to policy synthesis and verification. Artif. Intell. 336: 104195 (2024)- [j63]Ersin Das, Aaron D. Ames, Joel W. Burdick:
Rollover Prevention for Mobile Robots With Control Barrier Functions: Differentiator-Based Adaptation and Projection-to-State Safety. IEEE Control. Syst. Lett. 8: 1727-1732 (2024) - [i66]Ersin Das, Aaron D. Ames, Joel W. Burdick:
Rollover Prevention for Mobile Robots with Control Barrier Functions: Differentiator-Based Adaptation and Projection-to-State Safety. CoRR abs/2403.08916 (2024) - [i65]Prithvi Akella, Anushri Dixit, Mohamadreza Ahmadi, Lars Lindemann, Margaret P. Chapman, George J. Pappas, Aaron D. Ames, Joel W. Burdick:
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification. CoRR abs/2403.18972 (2024) - 2023
- [c207]Albert H. Li, Preston Culbertson, Joel W. Burdick, Aaron D. Ames:
FRoGGeR: Fast Robust Grasp Generation via the Min-Weight Metric. IROS 2023: 6809-6816 - [c204]Prithvi Akella, Skylar X. Wei, Joel W. Burdick, Aaron D. Ames:
Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data. L4DC 2023: 665-678 - [i62]Albert H. Li, Preston Culbertson, Joel W. Burdick, Aaron D. Ames:
FRoGGeR: Fast Robust Grasp Generation via the Min-Weight Metric. CoRR abs/2302.13687 (2023) - 2022
- [i51]Prithvi Akella, Anushri Dixit, Mohamadreza Ahmadi, Joel W. Burdick, Aaron D. Ames:
Sample-Based Bounds for Coherent Risk Measures: Applications to Policy Synthesis and Verification. CoRR abs/2204.09833 (2022) - [i48]Prithvi Akella, Skylar X. Wei, Joel W. Burdick, Aaron D. Ames:
Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data. CoRR abs/2212.06253 (2022) - 2021
- [j56]Carl Folkestad, Yuxiao Chen, Aaron D. Ames, Joel W. Burdick:
Data-Driven Safety-Critical Control: Synthesizing Control Barrier Functions With Koopman Operators. IEEE Control. Syst. Lett. 5(6): 2012-2017 (2021) - [c199]Carl Folkestad, Yuxiao Chen, Aaron D. Ames, Joel W. Burdick:
Data-Driven Safety-Critical Control: Synthesizing Control Barrier Functions with Koopman Operators. ACC 2021: 929-934 - [c198]Mohamadreza Ahmadi, Anushri Dixit, Joel W. Burdick, Aaron D. Ames:
Risk-Averse Stochastic Shortest Path Planning. CDC 2021: 5199-5204 - [c195]Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames:
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. ICRA 2021: 3212-3218 - [i42]Mohamadreza Ahmadi, Anushri Dixit, Joel W. Burdick, Aaron D. Ames:
Risk-Averse Stochastic Shortest Path Planning. CoRR abs/2103.14727 (2021) - 2020
- [c190]Richard Cheng, Mohammad Javad Khojasteh, Aaron D. Ames, Joel W. Burdick:
Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties. CDC 2020: 777-783 - [c188]Mohamadreza Ahmadi, Andrew Singletary, Joel W. Burdick, Aaron D. Ames:
Barrier Functions for Multiagent-POMDPs with DTL Specifications. CDC 2020: 1380-1385 - [c186]Maegan Tucker, Ellen R. Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Preference-Based Learning for Exoskeleton Gait Optimization. ICRA 2020: 2351-2357 - [c181]Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. IROS 2020: 3423-3430 - [c180]Hyung Ju Terry Suh, Xiaobin Xiong, Andrew Singletary, Aaron D. Ames, Joel W. Burdick:
Energy-Efficient Motion Planning for Multi-Modal Hybrid Locomotion. IROS 2020: 7027-7033 - [i35]Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. CoRR abs/2003.06495 (2020) - [i34]Mohamadreza Ahmadi, Andrew Singletary, Joel W. Burdick, Aaron D. Ames:
Barrier Functions for Multiagent-POMDPs with DTL Specifications. CoRR abs/2003.09267 (2020) - [i31]Richard Cheng, Mohammad Javad Khojasteh, Aaron D. Ames, Joel W. Burdick:
Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties. CoRR abs/2004.05273 (2020) - [i25]Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames:
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. CoRR abs/2011.04812 (2020) - 2019
- [c175]Mohamadreza Ahmadi, Andrew Singletary, Joel W. Burdick, Aaron D. Ames:
Safe Policy Synthesis in Multi-Agent POMDPs via Discrete-Time Barrier Functions. CDC 2019: 4797-4803 - [i23]Mohamadreza Ahmadi, Andrew Singletary, Joel W. Burdick, Aaron D. Ames:
Safe Policy Synthesis in Multi-Agent POMDPs via Discrete-Time Barrier Functions. CoRR abs/1903.07823 (2019) - [i19]Hyung Ju Terry Suh, Xiaobin Xiong, Andrew Singletary, Aaron D. Ames, Joel W. Burdick:
Optimal Motion Planning for Multi-Modal Hybrid Locomotion. CoRR abs/1909.10209 (2019) - [i18]Maegan Tucker, Ellen R. Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel Burdick, Aaron D. Ames:
Preference-Based Learning for Exoskeleton Gait Optimization. CoRR abs/1909.12316 (2019)
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last updated on 2024-09-10 02:07 CEST by the dblp team
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