| Neural lander: Stable drone landing control using learned dynamics G Shi, X Shi, M O'Connell, R Yu, K Azizzadenesheli, A Anandkumar, ... International Conference on Robotics and Automation (ICRA), 2019 | 288 | 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 | 115 | 2022 |
| Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions G Shi, W Hönig, Y Yue, SJ Chung International Conference on Robotics and Automation (ICRA), 2020 | 68 | 2020 |
| Car-following method based on inverse reinforcement learning for autonomous vehicle decision-making H Gao, G Shi, G Xie, B Cheng International Journal of Advanced Robotic Systems 15 (6), 1729881418817162, 2018 | 65 | 2018 |
| Microfluidics cell sample preparation for analysis: Advances in efficient cell enrichment and precise single cell capture L Huang, S Bian, Y Cheng, G Shi, P Liu, X Ye, W Wang Biomicrofluidics 11 (1), 2017 | 63 | 2017 |
| Neural-swarm2: Planning and control of heterogeneous multirotor swarms using learned interactions G Shi, W Hönig, X Shi, Y Yue, SJ Chung IEEE Transactions on Robotics, 2020 | 62 | 2020 |
| The Power of Predictions in Online Control C Yu, G Shi, SJ Chung, Y Yue, A Wierman Neural Information Processing Systems (NeurIPS), 2020 | 62 | 2020 |
| Robust regression for safe exploration in control A Liu, G Shi, SJ Chung, A Anandkumar, Y Yue Learning for Dynamics and Control, 608-619, 2020 | 61 | 2020 |
| Chance-constrained trajectory optimization for safe exploration and learning of nonlinear systems YK Nakka, A Liu, G Shi, A Anandkumar, Y Yue, SJ Chung IEEE Robotics and Automation Letters 6 (2), 389-396, 2020 | 51 | 2020 |
| Online Optimization with Memory and Competitive Control G Shi, Y Lin, SJ Chung, Y Yue, A Wierman Neural Information Processing Systems (NeurIPS), 2020 | 50* | 2020 |
| Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems Y Lin, Y Hu, H Sun, G Shi, G Qu, A Wierman Neural Information Processing Systems (NeurIPS), 2021 | 33 | 2021 |
| Meta-Adaptive Nonlinear Control: Theory and Algorithms G Shi, K Azizzadenesheli, SJ Chung, Y Yue Neural Information Processing Systems (NeurIPS), 2021 | 32 | 2021 |
| Robustness and Consistency in Linear Quadratic Control with Predictions T Li, R Yang, G Qu, G Shi, C Yu, A Wierman, S Low Proceedings of the ACM on Measurement and Analysis of Computing Systems …, 2022 | 30* | 2022 |
| The jumping mechanism of flea beetles (Coleoptera, Chrysomelidae, Alticini), its application to bionics and preliminary design for a robotic jumping leg Y Ruan, AS Konstantinov, G Shi, Y Tao, Y Li, AJ Johnson, X Luo, X Zhang, ... ZooKeys 915, 87, 2020 | 25 | 2020 |
| 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 | 23 | 2021 |
| Fast Uncertainty Quantification for Deep Object Pose Estimation G Shi, Y Zhu, J Tremblay, S Birchfield, F Ramos, A Anandkumar, Y Zhu International Conference on Robotics and Automation (ICRA), 2021 | 23 | 2021 |
| Research on decision-making of autonomous vehicle following based on reinforcement learning method H Gao, G Shi, K Wang, G Xie, Y Liu Industrial Robot: the international journal of robotics research and …, 2019 | 22 | 2019 |
| Competitive control with delayed imperfect information C Yu, G Shi, SJ Chung, Y Yue, A Wierman American Control Conference (ACC), 2022 | 21 | 2022 |
| How to dip nectar: optimal time apportionment in natural viscous fluid transport J Wu, G Shi, Y Zhao, S Yan Journal of Physics D: Applied Physics 51 (24), 245401, 2018 | 15 | 2018 |
| CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller Y Yang, G Shi, X Meng, W Yu, T Zhang, J Tan, B Boots Conference on Robot Learning (CoRL), 2023 | 13 | 2023 |
Soon-Jo ChungBren Professor of Control and Dynamical Systems at Caltech; JPL Senior Research Scientist在 caltech.edu 的电子邮件经过验证
