Robotics & Machine Learning Daily News2024,Issue(Jun.7) :95-95.

New Findings on Robotics Described by Investigators at Harbin Institute of Techn ology (Optimal Measurement Poses Using Lssa for Robot Kinematics-flexibility Cal ibration)

哈尔滨工业大学研究人员描述的机器人学新发现(机器人运动学Lssa最优测量姿态柔性校准)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :95-95.

New Findings on Robotics Described by Investigators at Harbin Institute of Techn ology (Optimal Measurement Poses Using Lssa for Robot Kinematics-flexibility Cal ibration)

哈尔滨工业大学研究人员描述的机器人学新发现(机器人运动学Lssa最优测量姿态柔性校准)

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摘要

机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-目前关于机器人的研究结果已经公布。根据NewsRx记者从中华人民共和国黑龙江传来的消息,研究表明:“机器人S的绝对定位是限制其应用的主要因素,为了提高机器人标定的效率和精度,本文提出了一种利用Levy Flight和Sparrow搜索算法(LSSA)优化机器人测量姿态的方法。减少测量姿态的数量,提高校准精度。本研究经费来源于国家重点研究开发项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Robotics have been publi shed. According to news originating from Heilongjiang, People’s Republic of Chin a, by NewsRx correspondents, research stated, “The absolute positioning of robot s is a primary factor limiting their applications. In order to enhance the effic iency and precision of robot calibration, this study introduces a method that ut ilizes the Levy flight and Sparrow Search Algorithm (LSSA) to optimize the measu rement pose of the robot, reducing the number of measurement poses and improving calibration accuracy.” Financial support for this research came from National Key Research and Developm ent Program of China.

Key words

Heilongjiang/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Robot/Robotics/Ha rbin Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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