| Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control C Dawson, S Gao, C Fan IEEE Transactions on Robotics, 2023 | 137* | 2023 |
| Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions C Dawson, Z Qin, S Gao, C Fan 5th Annual Conference on Robot Learning, 2021 | 113 | 2021 |
| Learning safe, generalizable perception-based hybrid control with certificates C Dawson, B Lowenkamp, D Goff, C Fan IEEE Robotics and Automation Letters 7 (2), 1904-1911, 2022 | 39 | 2022 |
| Magnetic properties of double perovskite : Hetero-tri-spin systems X Ding, B Gao, E Krenkel, C Dawson, JC Eckert, SW Cheong, V Zapf Physical Review B 99 (1), 014438, 2019 | 30 | 2019 |
| AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers Y Chen, J Arkin, C Dawson, Y Zhang, N Roy, C Fan arXiv preprint arXiv:2306.06531, 2023 | 25 | 2023 |
| Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields M Tong, C Dawson, C Fan 2023 IEEE International Conference on Robotics and Automation (ICRA), 10511 …, 2023 | 12 | 2023 |
| Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles C Dawson, A Jasour, A Hofmann, B Williams 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 12 | 2020 |
| Robust Counterexample-guided Optimization for Planning from Differentiable Temporal Logic C Dawson, C Fan 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 8 | 2022 |
| Autonomously Deployable Tower Infrastructure for Exploration and Communication in Lunar Permanently Shadowed Regions GC Lordos, C Amy, B Browder, M Chan, C Dawson, P do Vale Pereira, ... ASCEND 2020, 4109, 2020 | 8 | 2020 |
| Certifiable Robot Design Optimization using Differentiable Programming C Dawson, C Fan Robotics: Science and Systems 2022, 2022 | 6 | 2022 |
| A sensitivity‐based approach to solving the inverse eigenvalue problem for linear structures carrying lumped attachments CB Dawson, PD Cha International Journal for Numerical Methods in Engineering 120 (5), 537– 566, 2019 | 6 | 2019 |
| Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Approach Using Control Barrier Functions J Yin, C Dawson, C Fan, P Tsiotras arXiv preprint arXiv:2302.11719, 2023 | 4 | 2023 |
| Learning safe control for multi-robot systems: Methods, verification, and open challenges K Garg, S Zhang, O So, C Dawson, C Fan Annual Reviews in Control 57, 100948, 2024 | 3 | 2024 |
| Model-free Neural Fault Detection and Isolation for Safe Control K Garg, C Dawson, K Xu, M Ornik, C Fan IEEE Control Systems Letters, 2023 | 3 | 2023 |
| Fast Certification of Collision Probability Bounds with Uncertain Convex Obstacles C Dawson, A Hofmann, B Williams arXiv preprint arXiv:2003.07792, 2020 | 3 | 2020 |
| A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling C Dawson, C Fan 7th Annual Conference on Robot Learning, 2023 | 2 | 2023 |
| Barrier functions enable safety-conscious force-feedback control C Dawson, A Garrett, F Pollok, Y Zhang, C Fan arXiv preprint arXiv:2209.12270, 2022 | 2 | 2022 |
| Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Method Using Control Barrier Functions J Yin, C Dawson, C Fan, P Tsiotras IEEE Robotics and Automation Letters, 2023 | 1 | 2023 |
| Chance-Constrained Trajectory Optimization for High-DOF Robots in Uncertain Environments C Dawson, A Jasour, A Hofmann, B Williams arXiv preprint arXiv:2302.00122, 2023 | 1 | 2023 |
| RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling C Dawson, A Parashar, C Fan arXiv preprint arXiv:2404.03412, 2024 | | 2024 |
Chuchu FanWilson Assistant Professor of Aeronautics and Astronautics at MITVerified email at mit.edu
