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Guanya Shi
Guanya Shi
Ph.D. Candidate at Caltech
Verified email at caltech.edu - Homepage
Title
Cited by
Cited by
Year
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
1532019
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), 011501, 2017
502017
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
372018
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
342020
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
332020
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
322020
Online Optimization with Memory and Competitive Control
G Shi, Y Lin, SJ Chung, Y Yue, A Wierman
Neural Information Processing Systems (NeurIPS), 2020
23*2020
The Power of Predictions in Online Control
C Yu, G Shi, SJ Chung, Y Yue, A Wierman
Neural Information Processing Systems (NeurIPS), 2020
212020
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
152020
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
142021
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 application, 2019
132019
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
112018
Competitive control with delayed imperfect information
C Yu, G Shi, SJ Chung, Y Yue, A Wierman
American Control Conference (ACC), 2022
92022
A novel BioMEMS device for efficient on-chip single cell loading and 3D rotation
L Huang, P Zhao, S Bian, G Shi, P Liu, S Zong, W Wang
2017 IEEE 30th International Conference on Micro Electro Mechanical Systems …, 2017
92017
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
82021
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
72020
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
62021
Meta-Adaptive Nonlinear Control: Theory and Algorithms
G Shi, K Azizzadenesheli, SJ Chung, Y Yue
Neural Information Processing Systems (NeurIPS), 2021
52021
Robustness and consistency in linear quadratic control with untrusted 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 6 (1 …, 2022
32022
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
32022
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Articles 1–20