Robotics & Machine Learning Daily News2024,Issue(Nov.12) :53-54.

Reports from Sichuan University Add New Data to Findings in Robotics (Optimal Fu lly Actuated System Approach-based Trajectory Tracking Control for Robot Manipul ators)

四川大学的报告为机器人学的研究增加了新的数据(基于最优驱动系统方法的机器人操纵器轨迹跟踪控制)

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :53-54.

Reports from Sichuan University Add New Data to Findings in Robotics (Optimal Fu lly Actuated System Approach-based Trajectory Tracking Control for Robot Manipul ators)

四川大学的报告为机器人学的研究增加了新的数据(基于最优驱动系统方法的机器人操纵器轨迹跟踪控制)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器人的研究成果在一份新的报告中被使用。据新闻报道原发于中华人民共和国成都,由NewsRx Research记者报道在本文中,提出了一种基于完全控制的机器人轨迹跟踪控制策略驱动系统(FAS)方法对大多数非线性系统都表现出了简单和可描述性控制器设计。然而,由于未知,机器人的运动控制更加复杂需要建立动力学模型、外部扰动、摩擦力和各种物理约束被考虑。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Robotics are disc ussed in a new report. According to newsreporting originating from Chengdu, Peo ple’s Republic of China, by NewsRx correspondents, researchstated, “In this art icle, a trajectory tracking control strategy is proposed for robot manipulators via a fullyactuated system (FAS) approach, which has shown its simplicity and f lexibility for most of the nonlinearcontroller design. However, the motion cont rol for robot manipulators is more complicated since unknowndynamical model, ex ternal disturbances, friction forces, and various physical constraints are requi red tobe considered.”

Key words

Chengdu/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robot/Robotics/Sichuan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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