Safe learning in robotics: From learning-based control to safe reinforcement learning L Brunke, M Greeff, AW Hall, Z Yuan, S Zhou, J Panerati, AP Schoellig Annual Review of Control, Robotics, and Autonomous Systems 5 (1), 411-444, 2022 | 572 | 2022 |
Safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics Z Yuan, AW Hall, S Zhou, L Brunke, M Greeff, J Panerati, AP Schoellig IEEE Robotics and Automation Letters 7 (4), 11142-11149, 2022 | 43* | 2022 |
Riemannian optimization for distance-geometric inverse kinematics F Marić, M Giamou, AW Hall, S Khoubyarian, I Petrović, J Kelly IEEE Transactions on Robotics 38 (3), 1703-1722, 2021 | 33 | 2021 |
Learning a stability filter for uncertain differentially flat systems using Gaussian processes M Greeff, AW Hall, AP Schoellig 2021 60th IEEE Conference on Decision and Control (CDC), 789-794, 2021 | 9 | 2021 |
Differentially Flat Learning-Based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter AW Hall, M Greeff, AP Schoellig IEEE Control Systems Letters 7, 2191-2196, 2023 | 4 | 2023 |
What is the Impact of Releasing Code with Publications? Statistics from the Machine Learning, Robotics, and Control Communities S Zhou, L Brunke, A Tao, AW Hall, FP Bejarano, J Panerati, AP Schoellig arXiv preprint arXiv:2308.10008, 2023 | 2 | 2023 |
Different Degrees of Regulation for Robotics A Hall, E Wise Workshop on Debates on the Future of Robotics Research in Proceedings of the …, 2019 | | 2019 |