Weizhong Guo — accepted AI-conference papers

2024

Experience-Learning Inspired Two-Step Reward Method for Efficient Legged Locomotion Learning Towards Natural and Robust Gaits

Yinghui Li, Jinze Wu, Xin Liu, Weizhong Guo, Yufei Xue

IROS 2024

Legged robots excel in navigating complex terrains, yet learning natural and robust motions in such environments remains challenging. Inspired by animals’ experience-based stepwise learning process, we propose a two-stage framework for legged robots to progressively learn naturally robust movements

Cited by 5 Source ↗Scholar ↗

2021

Design and Analysis of a Bi-directional Transformable Wheel Robot Trimode

Qiwei Xu, Hao Xu, Kun Xiong, Qinqin Zhou, Weizhong Guo

IROS 2021poster

This article presents a novel transformable wheeled robot with three motion modes. Based on the four-bar mechanism design, the transformable wheel can transform into CW (clockwise) legged wheel mode and CCW (counterclock-wise) legged wheel mode from the circular wheel. Both legged wheel modes achiev…

Cited by 15 Source ↗Scholar ↗