Zhongyu Li

Orcid: 0000-0001-8040-1098

Affiliations:
  • University of California Berkeley, Department of Mechanical Engineering, Berkeley, CA, USA


According to our database1, Zhongyu Li authored at least 29 papers between 2020 and 2024.

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Bibliography

2024
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models.
CoRR, 2024

Berkeley Humanoid: A Research Platform for Learning-based Control.
CoRR, 2024

HiLMa-Res: A General Hierarchical Framework via Residual RL for Combining Quadrupedal Locomotion and Manipulation.
CoRR, 2024

DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets.
CoRR, 2024

Long-horizon Locomotion and Manipulation on a Quadrupedal Robot with Large Language Models.
CoRR, 2024

Learning Visual Quadrupedal Loco-Manipulation from Demonstrations.
CoRR, 2024

Leveraging Symmetry in RL-based Legged Locomotion Control.
CoRR, 2024

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control.
CoRR, 2024

2023
Autonomous navigation of underactuated bipedal robots in height-constrained environments.
Int. J. Robotics Res., July, 2023

i2LQR: Iterative LQR for Iterative Tasks in Dynamic Environments.
CoRR, 2023

Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning.
CoRR, 2023

Robust and Versatile Bipedal Jumping Control through Reinforcement Learning.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Walking in Narrow Spaces: Safety-Critical Locomotion Control for Quadrupedal Robots with Duality-Based Optimization.
IROS, 2023

Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning.
IROS, 2023

i2LQR: Iterative LQR for Iterative Tasks in Dynamic Environments.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Collaborative Navigation and Manipulation of a Cable-Towed Load by Multiple Quadrupedal Robots.
IEEE Robotics Autom. Lett., 2022

Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Teaching Robots to Span the Space of Functional Expressive Motion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Adapting Rapid Motor Adaptation for Bipedal Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Bayesian Optimization Meets Hybrid Zero Dynamics: Safe Parameter Learning for Bipedal Locomotion Control.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots.
Proceedings of the Conference on Robot Learning, 2022

2021
Vision-Aided Autonomous Navigation of Bipedal Robots in Height-Constrained Environments.
CoRR, 2021

Robotic Guide Dog: Leading a Human with Leash-Guided Hybrid Physical Interaction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Enhancing Feasibility and Safety of Nonlinear Model Predictive Control with Discrete-Time Control Barrier Functions.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Autonomous Navigation for Quadrupedal Robots with Optimized Jumping through Constrained Obstacles.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Safety-Critical Control using Optimal-decay Control Barrier Function with Guaranteed Point-wise Feasibility.
Proceedings of the 2021 American Control Conference, 2021

2020
Animated Cassie: A Dynamic Relatable Robotic Character.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020


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