Robotics & Machine Learning Daily News2024,Issue(Jul.2) :122-122.

Studies from Northwestern Polytechnic University Describe New Findings in Androi ds (Human-assisted Regulation of the Deployment of a Tethered Space Robot Via Fe asibility Condition Optimization and Fast Logarithmic Sliding Mode)

西北理工大学的研究描述了Android DS(通过有限条件优化和快速对数滑动模式对系留空间机器人展开的人辅助调节)的新发现

Robotics & Machine Learning Daily News2024,Issue(Jul.2) :122-122.

Studies from Northwestern Polytechnic University Describe New Findings in Androi ds (Human-assisted Regulation of the Deployment of a Tethered Space Robot Via Fe asibility Condition Optimization and Fast Logarithmic Sliding Mode)

西北理工大学的研究描述了Android DS(通过有限条件优化和快速对数滑动模式对系留空间机器人展开的人辅助调节)的新发现

扫码查看

摘要

由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-研究人员详细介绍了机器人S-机器人的新数据。根据《中华人民共和国西安消息》,NewsRx记者报道,研究表明:“绳系空间机器人欠驱动展开的可行性分析和性能优化是一个巨大的挑战,本文对欠驱动展开的可行性条件优化和稳定性分析进行了研究,提出了一种基于可行性判断的快速对数滑模人工调节方案。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s - Androids. According to news originating from Xi’an, People’s Republic of Chi na, by NewsRx correspondents, research stated, “The feasibility analysis and per formance optimization are great challenges of the underactuated deployment of a tethered space robot. This article presents an investigation into the feasibilit y condition optimization and stability analysis of the underactuated deployment, and proposes a feasibility-judgment-based human-assisted regulation scheme via the fast logarithmic sliding mode.”

Key words

Xi'an/People's Republic of China/Asia/Androids/Emerging Technologies/Human-Robot Interaction/Machine Learning/Rob ot/Robotics/Northwestern Polytechnic University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文