Robotics & Machine Learning Daily News2024,Issue(Jun.7) :73-73.

Shenzhen University Reports Findings in Robotics (Fast and Efficient Motion Plan ning Algorithm for Cfetr Multipurpose Overload Robot In Narrow Workspace)

深圳大学发表机器人学研究成果(Cfetr多用途过载机器人窄工作空间快速高效运动规划算法)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :73-73.

Shenzhen University Reports Findings in Robotics (Fast and Efficient Motion Plan ning Algorithm for Cfetr Multipurpose Overload Robot In Narrow Workspace)

深圳大学发表机器人学研究成果(Cfetr多用途过载机器人窄工作空间快速高效运动规划算法)

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摘要

Robotics&Machine Learning Daily News的一位新闻记者兼工作人员新闻编辑-机器人的新研究是一项回购的主题。根据NewsRx编辑在中华人民共和国深圳的新闻报道,研究称,“中国聚变工程试验堆(CFE TR)多用途过载机器人(CMOR)有九个自由度(DOF),而冗余自由度和窄工作空间对无碰撞轨迹的计算有重要的影响。本研究经费来自中国核聚变技术计划综合研究机构。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Robotics is the subject of a repo rt. According to news reporting out of Shenzhen, People’s Republic of China, by NewsRx editors, research stated, “The China Fusion Engineering Test Reactor (CFE TR) multipurpose overload robot (CMOR) has nine degrees of freedom (DOF), and th e redundant DOF contributes to its ability to avoid collisions in the narrow wor kspace. However, the redundant DOF and narrow workspace poses significant challe nges in the calculation of collision-free trajectories.” Financial support for this research came from Comprehensive Research Facility fo r Fusion Technology Program of China.

Key words

Shenzhen/People’s Republic of China/As ia/Algorithms/Emerging Technologies/Machine Learning/Robot/Robotics/Shenzh en University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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