4 papers
Enabling Robust Cloth Manipulation via Inference-Time Simulator-in-the-Loop Refinement
Xin Liu, Yulin Li, Ziming Li +7
Simulator-in-the-loop optimization offers a promising inference-time mechanism for robot manipulation. It uses a physical simulator as a backend rollout engine to evaluate candidat…
PPL: Point Cloud Supervised Proprioceptive Locomotion Reinforcement Learning for Legged Robots in Crawl Spaces
Bida Ma, Nuo Xu, Chenkun Qi +4
Legged locomotion in constrained spaces (called crawl spaces) is challenging. In crawl spaces, current proprioceptive locomotion learning methods are difficult to achieve traverse…
Learning Natural and Robust Hexapod Locomotion over Complex Terrains via Motion Priors based on Deep Reinforcement Learning
Xin Liu, Jinze Wu, Yinghui Li +3
Multi-legged robots offer enhanced stability to navigate complex terrains with their multiple legs interacting with the environment. However, how to effectively coordinate the mult…
Ask1: Development and Reinforcement Learning-Based Control of a Custom Quadruped Robot
Yang Zhang, Yuxing Lu, Guiyang Xin +4
In this work, we present the design, development, and experimental validation of a custom-built quadruped robot, Ask1. The Ask1 robot shares similar morphology with the Unitree Go1…