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MARL Control of On-Orbit Peg-in-Hole Assembly in Macro-Micro Robots

  • Hao Li*
  • , Xuchao Huang*
  • , Yibo Zhang
  • , Quan An*
  • , Yao Zhang*
  • *此作品的通讯作者
  • Beijing Institute of Technology
  • China University of Mining & Technology, Beijing

科研成果: 期刊稿件会议文章同行评审

摘要

In recent years, on-orbit operations have become a research hotspot. Traditional on-orbit assembly using only robotic arms suffers from low precision. Therefore, this paper proposes a Macro-Micro Coordinated Robotic System (MMCRS) consisting of a robotic arm and a Stewart platform. The paper analyzes the kinematic characteristics of the MMCRS for the on-orbit peg-in-hole assembly problem and introduces a Multi-Agent Reinforcement Learning algorithm, Full-State MADDPG. A staged, variable-parameter reward function is designed, and the effectiveness of the algorithm is verified through simulations.

源语言英语
页(从-至)2113-2118
页数6
期刊IFAC-PapersOnLine
59
20
DOI
出版状态已出版 - 1 8月 2025
活动23th IFAC Symposium on Automatic Control in Aerospace, ACA 2025 - Harbin, 中国
期限: 2 8月 20256 8月 2025

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