Charles Dawson
Orcid: 0000-0002-8371-5313Affiliations:
- Massachusetts Institute of Technology, Cambridge, MA, USA
According to our database1,
Charles Dawson
authored at least 21 papers
between 2020 and 2024.
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Bibliography
2024
IEEE Robotics Autom. Lett., October, 2024
RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling.
CoRR, 2024
Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning.
CoRR, 2024
Learning safe control for multi-robot systems: Methods, verification, and open challenges.
Annu. Rev. Control., 2024
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Method Using Control Barrier Functions.
IEEE Robotics Autom. Lett., November, 2023
Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control.
IEEE Trans. Robotics, June, 2023
IEEE Control. Syst. Lett., 2023
Adversarial optimization leads to over-optimistic security-constrained dispatch, but sampling can help.
CoRR, 2023
Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Approach Using Control Barrier Functions.
CoRR, 2023
Chance-Constrained Trajectory Optimization for High-DOF Robots in Uncertain Environments.
CoRR, 2023
Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling.
Proceedings of the Conference on Robot Learning, 2023
2022
IEEE Robotics Autom. Lett., 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods.
CoRR, 2022
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022
Robust Counterexample-guided Optimization for Planning from Differentiable Temporal Logic.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
2021
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
2020
CoRR, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020