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cs.RO2026
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…
cs.RO2025
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…
cs.RO2024
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…