17 citations · 45 across the 41 of their papers we have counts for
5 papers · 1 filter
Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning
Xiaoyu Huang, Zhongyu Li, Yanzhen Xiang +6
We present a reinforcement learning (RL) framework that enables quadrupedal robots to perform soccer goalkeeping tasks in the real world. Soccer goalkeeping using quadrupeds is a c…
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots
Gilbert Feng, Hongbo Zhang, Zhongyu Li +8
Recent years have seen a surge in commercially-available and affordable quadrupedal robots, with many of these platforms being actively used in research and industry. As the availa…
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
Zhongyu Li, Jun Zeng, Akshay Thirugnanam +1
Bridging model-based safety and model-free reinforcement learning (RL) for dynamic robots is appealing since model-based methods are able to provide formal safety guarantees, while…
Bayesian Optimization Meets Hybrid Zero Dynamics: Safe Parameter Learning for Bipedal Locomotion Control
Lizhi Yang, Zhongyu Li, Jun Zeng +1
In this paper, we propose a multi-domain control parameter learning framework that combines Bayesian Optimization (BO) and Hybrid Zero Dynamics (HZD) for locomotion control of bipe…
Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots
Jason J. Choi, Ayush Agrawal, Koushil Sreenath +2
Contact-rich robotic systems, such as legged robots and manipulators, are often represented as hybrid systems. However, the stability analysis and region-of-attraction computation…