Robotics & Machine Learning Daily News2024,Issue(Jun.14) :80-81.

Research Conducted at Jiangnan University Has Provided New Information about Robotics (Inter-robot Management Via Neighboring Robot Sensing and Measurement Using a Zeroing Neural Dynamics Approach)

江南大学的研究提供了机器人学的新信息(通过使用归零神经动力学方法的相邻机器人传感和测量实现机器人间管理)

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :80-81.

Research Conducted at Jiangnan University Has Provided New Information about Robotics (Inter-robot Management Via Neighboring Robot Sensing and Measurement Using a Zeroing Neural Dynamics Approach)

江南大学的研究提供了机器人学的新信息(通过使用归零神经动力学方法的相邻机器人传感和测量实现机器人间管理)

扫码查看

摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据NewsRx记者对无锡的新闻报道,研究表明:“本文提出了一种动态记录机器人位置的复杂Number表示方法,并开发了实时测量和最小化机器人间距离的优化策略,在此基础上,结合主从框架将优化策略转化为求解复杂时变矩阵方程的理论解。”为此,提出了一种复调零神经动力学(CZND)mo模型。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Robotics. According to news reporting originating in Wuxi, People’s Republic of China, by NewsRx journalists, research stated, “This paper proposes a complex numb er representation method for dynamically recording robot positions and develops an optimization strategy for measuring and minimizing inter-robot distances in real-time. Based on this, the optimization strategy is transformed into finding t he theoretical solution of the complex time-varying matrix equation by combining the leader-follower frameworks, and a complex zeroing neural dynamics (CZND) mo delis proposed for this objective.”

Key words

Wuxi/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Jiangnan 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