| Neural lander: Stable drone landing control using learned dynamics G Shi, X Shi, M O’Connell, R Yu, K Azizzadenesheli, A Anandkumar, ... 2019 international conference on robotics and automation (icra), 9784-9790, 2019 | 342 | 2019 |
| Neural-fly enables rapid learning for agile flight in strong winds M O’Connell, G Shi, X Shi, K Azizzadenesheli, A Anandkumar, Y Yue, ... Science Robotics 7 (66), eabm6597, 2022 | 188 | 2022 |
| Meta-adaptive nonlinear control: Theory and algorithms G Shi, K Azizzadenesheli, M O'Connell, SJ Chung, Y Yue Advances in Neural Information Processing Systems 34, 10013-10025, 2021 | 47 | 2021 |
| Meta-learning-based robust adaptive flight control under uncertain wind conditions M O'Connell, G Shi, X Shi, SJ Chung arXiv preprint arXiv:2103.01932, 2021 | 26 | 2021 |
| Numerical predictive control for delay compensation X Shi, M O'Connell, SJ Chung arXiv preprint arXiv:2009.14450, 2020 | 2 | 2020 |
| Hierarchical Meta-learning-based Adaptive Controller F Xie, G Shi, M O’Connell, Y Yue, SJ Chung 2024 IEEE International Conference on Robotics and Automation (ICRA), 18309 …, 2024 | 1 | 2024 |
| Learning-Based Minimally-Sensed Fault-Tolerant Adaptive Flight Control M O'Connell, J Cho, M Anderson, SJ Chung IEEE Robotics and Automation Letters, 2024 | 1 | 2024 |
| Methods for Robust Learning-Based Control M O'Connell California Institute of Technology, 2023 | 1 | 2023 |
| Systems and methods for robust learning-based control during forward and landing flight under uncertain conditions G Shi, X Shi, M O'connell, A Anandkumar, YUE Yisong, SJ Chung US Patent 11,693,373, 2023 | | 2023 |
