Charles Dawson

34 papers A* 3A 2Misc 2Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Roadmap for Climate-Relevant Robotics Research. CoRR Alan Papalia, Charles Dawson, Laurentiu L. Anton, Norhan Bayomi, Bianca Champenois, Jung-Hoon Cho, Levi Cai, Joseph DelPreto, Kristen Edwards, Bilha-Catherine Githinji, Cameron Hickert, Vindula Jayawardana, Matthew Kramer, Shreyaa Raghavan, David Russell, Shide Salimi, Jingnan Shi, Soumya Sudhakar, Yanwei Wang, Shouyi Wang, Luca Carlone, Vijay Kumar, Daniela Rus, John E. Fernandez, Cathy Wu, George Kantor, Derek Young, Hanumant Singh
2025	J	`jnl`	Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV. CoRR Allen M. Wang, Alessandro Pau, Cristina Rea, Oswin So, Charles Dawson, Olivier Sauter, Mark D. Boyer, Anna Vu, Cristian Galperti, Chuchu Fan, Antoine Merle, Yoeri Poels, Cristina Venturini, Stefano Marchioni, TCV Team
2025	J	`jnl`	RADIUM: Predicting and Repairing End-to-End Robot Failures Using Gradient-Accelerated Sampling. IEEE Trans. Robotics Charles Dawson, Anjali Parashar, Chuchu Fan
2025	A*	`conf`	Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure? ICLR Charles Dawson, Van Tran, Max Z. Li, Chuchu Fan
2025	J	`jnl`	Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure? CoRR Charles Dawson, Van Tran, Max Z. Li, Chuchu Fan
2024	J	`jnl`	Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning. CoRR Allen M. Wang, Oswin So, Charles Dawson, Darren T. Garnier, Cristina Rea, Chuchu Fan
2024	A*	`conf`	AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers. ICRA Yongchao Chen, Jacob Arkin, Charles Dawson, Yang Zhang, Nicholas Roy, Chuchu Fan
2024	J	`jnl`	Learning safe control for multi-robot systems: Methods, verification, and open challenges. Annu. Rev. Control. Kunal Garg, Songyuan Zhang, Oswin So, Charles Dawson, Chuchu Fan
2024	J	`jnl`	Learning-Based Bayesian Inference for Testing of Autonomous Systems. IEEE Robotics Autom. Lett. Anjali Parashar, Ji Yin, Charles Dawson, Panagiotis Tsiotras, Chuchu Fan
2024	J	`jnl`	RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling. CoRR Charles Dawson, Anjali Parashar, Chuchu Fan
2023	Misc	`conf`	A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling. CoRL Charles Dawson, Chuchu Fan
2023	J	`jnl`	A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling. CoRR Charles Dawson, Chuchu Fan
2023	J	`jnl`	Adversarial optimization leads to over-optimistic security-constrained dispatch, but sampling can help. CoRR Charles Dawson, Chuchu Fan
2023	J	`jnl`	Chance-Constrained Trajectory Optimization for High-DOF Robots in Uncertain Environments. CoRR Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams
2023	A*	`conf`	Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields. ICRA Mukun Tong, Charles Dawson, Chuchu Fan
2023	J	`jnl`	Learning Safe Control for Multi-Robot Systems: Methods, Verification, and Open Challenges. CoRR Kunal Garg, Songyuan Zhang, Oswin So, Charles Dawson, Chuchu Fan
2023	J	`jnl`	Model-Free Neural Fault Detection and Isolation for Safe Control. IEEE Control. Syst. Lett. Kunal Garg, Charles Dawson, Kathleen Xu, Melkior Ornik, Chuchu Fan
2023	J	`jnl`	Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control. IEEE Trans. Robotics Charles Dawson, Sicun Gao, Chuchu Fan
2023	J	`jnl`	Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Approach Using Control Barrier Functions. CoRR Ji Yin, Charles Dawson, Chuchu Fan, Panagiotis Tsiotras
2023	J	`jnl`	Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Method Using Control Barrier Functions. IEEE Robotics Autom. Lett. Ji Yin, Charles Dawson, Chuchu Fan, Panagiotis Tsiotras
2022	J	`jnl`	Barrier functions enable safety-conscious force-feedback control. CoRR Charles Dawson, Austin Garrett, Falk Pollok, Yang Zhang, Chuchu Fan
2022	—	`conf`	Certifiable Robot Design Optimization using Differentiable Programming. Robotics: Science and Systems Charles Dawson, Chuchu Fan
2022	J	`jnl`	Certifiable Robot Design Optimization using Differentiable Programming. CoRR Charles Dawson, Chuchu Fan
2022	J	`jnl`	Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields. CoRR Mukun Tong, Charles Dawson, Chuchu Fan
2022	J	`jnl`	Learning Safe, Generalizable Perception-Based Hybrid Control With Certificates. IEEE Robotics Autom. Lett. Charles Dawson, Bethany Lowenkamp, Dylan Goff, Chuchu Fan
2022	J	`jnl`	Learning Safe, Generalizable Perception-based Hybrid Control with Certificates. CoRR Charles Dawson, Bethany Lowenkamp, Dylan Goff, Chuchu Fan
2022	A	`conf`	Robust Counterexample-guided Optimization for Planning from Differentiable Temporal Logic. IROS Charles Dawson, Chuchu Fan
2022	J	`jnl`	Robust Counterexample-guided Optimization for Planning from Differentiable Temporal Logic. CoRR Charles Dawson, Chuchu Fan
2022	J	`jnl`	Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods. CoRR Charles Dawson, Sicun Gao, Chuchu Fan
2021	Misc	`conf`	Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions. CoRL Charles Dawson, Zengyi Qin, Sicun Gao, Chuchu Fan
2021	J	`jnl`	Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions. CoRR Charles Dawson, Zengyi Qin, Sicun Gao, Chuchu Fan
2020	J	`jnl`	Fast Certification of Collision Probability Bounds with Uncertain Convex Obstacles. CoRR Charles Dawson, Andreas G. Hofmann, Brian C. Williams
2020	A	`conf`	Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles. IROS Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian Charles Williams
2020	J	`jnl`	Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles. CoRR Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams