Learning Complex Motor Skills for Legged Robot Fall Recovery-Reference-Cited by-同舟云学术

Learning Complex Motor Skills for Legged Robot Fall Recovery

Published:2023-07 Issue:7 Volume:8 Page:4307-4314
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Yang Chuanyu¹^ORCID,Pu Can¹^ORCID,Xin Guiyang²^ORCID,Zhang Jie³^ORCID,Li Zhibin⁴^ORCID

Affiliation:

1. Shenzhen Amigaga Technology Company Ltd., Shenzhen, China

2. School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian, China

3. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China

4. Department of Computer Science, University College London, London, U.K.

Funder

Shenzhen Amigaga Technology Company Ltd.

Gagabot2022 Project

Human Resources and Social Security Administration of Shenzhen Municipality

Overseas High-Caliber Personnel project

Human Resources Bureau of Shenzhen Baoan District

High-Level Talents in Shenzhen Baoan project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10128766/10138662.pdf?arnumber=10138662

Reference27 articles.

1. Learning agile and dynamic motor skills for legged robots

2. Trajectory Optimization with Optimization-Based Dynamics

3. Design a Fall Recovery Strategy for a Wheel-Legged Quadruped Robot Using Stability Feature Space

4. ASE

5. A direct method for trajectory optimization of rigid bodies through contact

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