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Charles Dawson 0001
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- Charles Dawson 0002 — Cadence Design Systems, Inc.
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2020 – today
- 2024
- [j6]Kunal Garg
, Songyuan Zhang, Oswin So, Charles Dawson, Chuchu Fan:
Learning safe control for multi-robot systems: Methods, verification, and open challenges. Annu. Rev. Control. 57: 100948 (2024) - [j5]Anjali Parashar
Learning-Based Bayesian Inference for Testing of Autonomous Systems. IEEE Robotics Autom. Lett. 9(10): 9063-9070 (2024) - [c7]Yongchao Chen, Jacob Arkin, Charles Dawson, Yang Zhang, Nicholas Roy, Chuchu Fan:
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers. ICRA 2024: 6695-6702 - [i16]Allen M. Wang, Oswin So, Charles Dawson, Darren T. Garnier, Cristina Rea, Chuchu Fan:
Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning. CoRR abs/2402.09387 (2024) - [i15]Charles Dawson, Anjali Parashar, Chuchu Fan:
RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling. CoRR abs/2404.03412 (2024) - 2023
- [j4]Kunal Garg
Model-Free Neural Fault Detection and Isolation for Safe Control. IEEE Control. Syst. Lett. 7: 3169-3174 (2023) - [j3]Ji Yin
Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Method Using Control Barrier Functions. IEEE Robotics Autom. Lett. 8(11): 7106-7113 (2023) - [j2]Charles Dawson
Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control. IEEE Trans. Robotics 39(3): 1749-1767 (2023) - [c6]Charles Dawson, Chuchu Fan:
A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling. CoRL 2023: 1706-1722 - [c5]Mukun Tong, Charles Dawson, Chuchu Fan:
Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields. ICRA 2023: 10511-10517 - [i14]Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams:
Chance-Constrained Trajectory Optimization for High-DOF Robots in Uncertain Environments. CoRR abs/2302.00122 (2023) - [i13]Ji Yin, Charles Dawson, Chuchu Fan, Panagiotis Tsiotras:
Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Approach Using Control Barrier Functions. CoRR abs/2302.11719 (2023) - [i12]Charles Dawson, Chuchu Fan:
A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling. CoRR abs/2309.08052 (2023) - [i11]Charles Dawson, Chuchu Fan:
Adversarial optimization leads to over-optimistic security-constrained dispatch, but sampling can help. CoRR abs/2310.06956 (2023) - [i10]Kunal Garg, Songyuan Zhang, Oswin So, Charles Dawson, Chuchu Fan:
Learning Safe Control for Multi-Robot Systems: Methods, Verification, and Open Challenges. CoRR abs/2311.13714 (2023) - 2022
- [j1]Charles Dawson
Learning Safe, Generalizable Perception-Based Hybrid Control With Certificates. IEEE Robotics Autom. Lett. 7(2): 1904-1911 (2022) - [c4]Charles Dawson, Chuchu Fan:
Robust Counterexample-guided Optimization for Planning from Differentiable Temporal Logic. IROS 2022: 7205-7212 - [c3]Charles Dawson, Chuchu Fan:
Certifiable Robot Design Optimization using Differentiable Programming. Robotics: Science and Systems 2022 - [i9]Charles Dawson, Bethany Lowenkamp, Dylan Goff, Chuchu Fan:
Learning Safe, Generalizable Perception-based Hybrid Control with Certificates. CoRR abs/2201.00932 (2022) - [i8]Charles Dawson, Sicun Gao, Chuchu Fan:
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods. CoRR abs/2202.11762 (2022) - [i7]Charles Dawson, Chuchu Fan:
Robust Counterexample-guided Optimization for Planning from Differentiable Temporal Logic. CoRR abs/2203.02038 (2022) - [i6]Charles Dawson, Chuchu Fan:
Certifiable Robot Design Optimization using Differentiable Programming. CoRR abs/2204.10935 (2022) - [i5]Mukun Tong, Charles Dawson, Chuchu Fan:
Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields. CoRR abs/2209.12266 (2022) - [i4]Charles Dawson, Austin Garrett, Falk Pollok, Yang Zhang, Chuchu Fan:
Barrier functions enable safety-conscious force-feedback control. CoRR abs/2209.12270 (2022) - 2021
- [c2]Charles Dawson, Zengyi Qin, Sicun Gao, Chuchu Fan:
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions. CoRL 2021: 1724-1735 - [i3]Charles Dawson, Zengyi Qin, Sicun Gao, Chuchu Fan:
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions. CoRR abs/2109.06697 (2021) - 2020
- [c1]Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian Charles Williams:
Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles. IROS 2020: 6237-6244 - [i2]Charles Dawson, Andreas G. Hofmann, Brian C. Williams:
Fast Certification of Collision Probability Bounds with Uncertain Convex Obstacles. CoRR abs/2003.07792 (2020) - [i1]Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams:
Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles. CoRR abs/2003.07811 (2020)
Coauthor Index
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