3 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
Experience-Learning Inspired Two-Step Reward Method for Efficient Legged Locomotion Learning Towards Natural and Robust Gaits
Yinghui Li, Jinze Wu, Xin Liu +2
Multi-legged robots offer enhanced stability in complex terrains, yet autonomously learning natural and robust motions in such environments remains challenging. Drawing inspiration…
Learning Multiple Gaits within Latent Space for Quadruped Robots
Jinze Wu, Yufei Xue, Chenkun Qi
Learning multiple gaits is non-trivial for legged robots, especially when encountering different terrains and velocity commands. In this work, we present an end-to-end training fra…