4 papers
SRL: Combining SLIP Model and Reinforcement Learning for Agile Robotic Jumping
Xiaowen Hu, Linqi Ye, Yudi Zhu +4
Robotic jumping is pivotal in applications such as search and rescue and logistics, where crossing obstacles and enhancing mobility efficiency are critical. The Spring-Loaded Inver…
CTBC: Contact-Triggered Blind Climbing for Wheeled Bipedal Robots with Instruction Learning and Reinforcement Learning
Rankun Li, Hao Wang, Qi Li +5
In recent years, wheeled bipedal robots have garnered significant attention due to their exceptional mobility on flat terrain. However, while stair climbing has been achieved in pr…
Unity RL Playground: A Versatile Reinforcement Learning Framework for Mobile Robots
Linqi Ye, Rankun Li, Xiaowen Hu +4
This paper introduces Unity RL Playground, an open-source reinforcement learning framework built on top of Unity ML-Agents. Unity RL Playground automates the process of training mo…
MBC: Multi-Brain Collaborative Control for Quadruped Robots
Hang Liu, Yi Cheng, Rankun Li +3
In the field of locomotion task of quadruped robots, Blind Policy and Perceptive Policy each have their own advantages and limitations. The Blind Policy relies on preset sensor inf…