Residual Reinforcement Learning for Motion Control of a Bionic Exploration Robot

Residual Reinforcement Learning for Motion Control of a Bionic Exploration Robot—RoboDact

Author:

Zhang Tiandong¹^ORCID,Wang Rui¹^ORCID,Wang Shuo¹^ORCID,Wang Yu¹^ORCID,Zheng Gang²^ORCID,Tan Min³^ORCID

Affiliation:

1. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. Centrale Lille, CRIStAL-Centre de Recherche en Informatique Signal et Automatique de Lille, University of Lille, Lille, France

3. Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

STI 2030-Major Projects

National Natural Science Foundation of China

Beijing Natural Science Foundation

Youth Innovation Promotion Association CAS

Scientific Research Program of Beijing Municipal Commission of Education—Natural Science Foundation of Beijing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference41 articles.

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1. Bionic Robot Electromechanical Control Algorithm based on Variable Structure PID;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29