Guanya Shi
Guanya Shi
Assistant Professor, Robotics Institute, Carnegie Mellon University
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
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
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
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
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
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
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
Online Optimization with Memory and Competitive Control
G Shi, Y Lin, SJ Chung, Y Yue, A Wierman
Neural Information Processing Systems (NeurIPS), 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
Meta-Adaptive Nonlinear Control: Theory and Algorithms
G Shi, K Azizzadenesheli, SJ Chung, Y Yue
Neural Information Processing Systems (NeurIPS), 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
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
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
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
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
Competitive control with delayed imperfect information
C Yu, G Shi, SJ Chung, Y Yue, A Wierman
American Control Conference (ACC), 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
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
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