| 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 | 341 | 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 | 187 | 2022 |
| Motion primitives and 3D path planning for fast flight through a forest AA Paranjape, KC Meier, X Shi, SJ Chung, S Hutchinson The International Journal of Robotics Research 34 (3), 357-377, 2015 | 119 | 2015 |
| Bat Bot (B2), a biologically inspired flying machine A Ramezani, X Shi, SJ Chung, S Hutchinson 2016 IEEE International Conference on Robotics and Automation (ICRA), 3219-3226, 2016 | 108 | 2016 |
| 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 38 (2), 1063-1079, 2021 | 81 | 2021 |
| Lagrangian modeling and flight control of articulated-winged bat robot A Ramezani, X Shi, SJ Chung, S Hutchinson 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 45 | 2015 |
| Nonlinear control of autonomous flying cars with wings and distributed electric propulsion X Shi, K Kim, S Rahili, SJ Chung 2018 IEEE Conference on Decision and Control (CDC), 5326-5333, 2018 | 35 | 2018 |
| Nonlinear flight controller synthesis of a bat-inspired micro aerial vehicle A Ramezani, X Shi, SJ Chung, S Hutchinson AIAA Guidance, Navigation, and Control Conference, 1376, 2016 | 35 | 2016 |
| 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 |
| Controllability and design of unmanned multirotor aircraft robust to rotor failure K Kim, S Rahili, X Shi, SJ Chung, M Gharib AIAA Scitech 2019 Forum, 1787, 2019 | 21 | 2019 |
| Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing X Shi, P Spieler, E Tang, ES Lupu, P Tokumaru, SJ Chung 2020 International Conference on Robotics and Automation (ICRA), 5321-5327, 2020 | 19 | 2020 |
| Autonomous flying ambulance X Shi, M Veismann, CJ Dougherty, S Rider, SJ Chung, M Gharib, K Kim, ... US Patent 11,072,421, 2021 | 11 | 2021 |
| Intelligent control for fixed-wing eVTOL aircraft X Shi California Institute of Technology, 2021 | 3 | 2021 |
| Numerical predictive control for delay compensation X Shi, M O'Connell, SJ Chung arXiv preprint arXiv:2009.14450, 2020 | 2 | 2020 |
| Bat Bot (B2), an Articulated-Winged Bat Robot A Ramezani, X Shi, SJ Chung, S Hutchinson poster presentation. International Conference of Robotics and Automation …, 2015 | 2 | 2015 |
| Pretraining Neural-Networks with Neural-Fly for Rapid Online Learning M O'Connell, G Shi, X Shi, K Azizzadenesheli, A Anandkumar, Y Yue, ... ICRA2023 Workshop on Pretraining for Robotics (PT4R), 2023 | 1 | 2023 |
| Airflow sensing based adaptive nonlinear flight control of a flying car or fixed-wing VTOL X Shi, P Spieler, E Tang, ES Lupu, SJ Chung US Patent 11,733,715, 2023 | | 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 |
| Transferable Learning-Based Control using Neural-Fly M O’Connell, G Shi, X Shi, K Azizzadenesheli, A Anandkumar, Y Yue, ... | | |
| Deploying Neural-Fly in the Field M O’Connell, G Shi, X Shi, K Azizzadenesheli, A Anandkumar, Y Yue, ... | | |
Soon-Jo ChungBren Professor of Control and Dynamical Systems at Caltech; JPL Senior Research ScientistBestätigte E-Mail-Adresse bei caltech.edu
