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Guanya Shi
Guanya Shi
Assistant Professor, Robotics Institute, Carnegie Mellon University
Bestätigte E-Mail-Adresse bei andrew.cmu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
3382019
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
1842022
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
812020
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
782020
The Power of Predictions in Online Control
C Yu, G Shi, SJ Chung, Y Yue, A Wierman
Neural Information Processing Systems (NeurIPS), 2020
722020
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
722018
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
692020
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
652017
Online Optimization with Memory and Competitive Control
G Shi, Y Lin, SJ Chung, Y Yue, A Wierman
Neural Information Processing Systems (NeurIPS), 2020
62*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
552020
Meta-Adaptive Nonlinear Control: Theory and Algorithms
G Shi, K Azizzadenesheli, SJ Chung, Y Yue
Neural Information Processing Systems (NeurIPS), 2021
472021
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
412021
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
35*2022
Learning human-to-humanoid real-time whole-body teleoperation
T He, Z Luo, W Xiao, C Zhang, K Kitani, C Liu, G Shi
arXiv preprint arXiv:2403.04436, 2024
342024
Agile but safe: Learning collision-free high-speed legged locomotion
T He, C Zhang, W Xiao, G He, C Liu, G Shi
arXiv preprint arXiv:2401.17583, 2024
282024
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
282021
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
262021
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
252023
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
252020
Competitive control with delayed imperfect information
C Yu, G Shi, SJ Chung, Y Yue, A Wierman
American Control Conference (ACC), 2022
242022
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