Guanya Shi

Orcid: 0000-0002-9075-3705

According to our database1, Guanya Shi authored at least 46 papers between 2019 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots.
CoRR, 2024

Self-Supervised Meta-Learning for All-Layer DNN-Based Adaptive Control with Stability Guarantees.
CoRR, 2024

Agile Mobility with Rapid Online Adaptation via Meta-learning and Uncertainty-aware MPPI.
CoRR, 2024

AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility.
CoRR, 2024

Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing.
CoRR, 2024

Agile Continuous Jumping in Discontinuous Terrains.
CoRR, 2024

Flying Calligrapher: Contact-Aware Motion and Force Planning and Control for Aerial Manipulation.
CoRR, 2024

Model-Based Diffusion for Trajectory Optimization.
CoRR, 2024

Propagative Distance Optimization for Constrained Inverse Kinematics.
CoRR, 2024

OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning.
CoRR, 2024

WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts.
CoRR, 2024

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation.
CoRR, 2024

Adaptive Decision-Making for Autonomous Vehicles: A Learning-Enhanced Game-Theoretic Approach in Interactive Environments.
CoRR, 2024

Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion.
CoRR, 2024

CoVO-MPC: Theoretical analysis of sampling-based MPC and optimal covariance design.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Hierarchical Meta-learning-based Adaptive Controller.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Safe Deep Policy Adaptation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Deep Model Predictive Optimization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Aerial Interaction with Tactile Sensing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Model Predictive Control for Aggressive Driving Over Uneven Terrain.
CoRR, 2023

Guardians as You Fall: Active Mode Transition for Safe Falling.
CoRR, 2023

Optimal Exploration for Model-Based RL in Nonlinear Systems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Active representation learning for general task space with applications in robotics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller.
Proceedings of the Conference on Robot Learning, 2023

DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control.
Proceedings of the Conference on Robot Learning, 2023

Leveraging Predictions in Power System Frequency Control: An Adaptive Approach.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions.
IEEE Trans. Robotics, 2022

Neural-Fly enables rapid learning for agile flight in strong winds.
Sci. Robotics, 2022

Online Optimization with Feedback Delay and Nonlinear Switching Cost.
Proc. ACM Meas. Anal. Comput. Syst., 2022

Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions.
Proc. ACM Meas. Anal. Comput. Syst., 2022

Competitive Control with Delayed Imperfect Information.
Proceedings of the American Control Conference, 2022

2021
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems.
IEEE Robotics Autom. Lett., 2021

Robustness and Consistency in Linear Quadratic Control with Predictions.
CoRR, 2021

Meta-Adaptive Nonlinear Control: Theory and Algorithms.
CoRR, 2021

Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions.
CoRR, 2021

Meta-Adaptive Nonlinear Control: Theory and Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast Uncertainty Quantification for Deep Object Pose Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Competitive Control via Online Optimization with Memory, Delayed Feedback, and Inexact Predictions.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020
Beyond No-Regret: Competitive Control via Online Optimization with Memory.
CoRR, 2020

The Power of Predictions in Online Control.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Optimization with Memory and Competitive Control.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Regression for Safe Exploration in Control.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Research on decision-making of autonomous vehicle following based on reinforcement learning method.
Ind. Robot, 2019

Neural Lander: Stable Drone Landing Control Using Learned Dynamics.
Proceedings of the International Conference on Robotics and Automation, 2019


  Loading...