Guanya Shi
Guanya Shi
Postdoc, University of Washington; (Incoming) Assistant Professor, Carnegie Mellon University
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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
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
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
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
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
The Power of Predictions in Online Control
C Yu, G Shi, SJ Chung, Y Yue, A Wierman
Neural Information Processing Systems (NeurIPS), 2020
Online Optimization with Memory and Competitive Control
G Shi, Y Lin, SJ Chung, Y Yue, A Wierman
Neural Information Processing Systems (NeurIPS), 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
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
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
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
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
Competitive control with delayed imperfect information
C Yu, G Shi, SJ Chung, Y Yue, A Wierman
American Control Conference (ACC), 2022
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
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
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
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, ...
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
Meta-Adaptive Nonlinear Control: Theory and Algorithms
G Shi, K Azizzadenesheli, SJ Chung, Y Yue
Neural Information Processing Systems (NeurIPS), 2021
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
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