Robotics & Machine Learning Daily News2024,Issue(Nov.29) :135-135.

Research from Chongqing University of Posts and Telecommunications Provides New Study Findings on Robotics (Smooth and Time-Optimal Trajectory Planning for Robo ts Using Improved Carnivorous Plant Algorithm)

重庆邮电大学的研究为机器人技术提供了新的研究成果(基于改进的食肉植物算法的机器人平滑和时间最优轨迹规划)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :135-135.

Research from Chongqing University of Posts and Telecommunications Provides New Study Findings on Robotics (Smooth and Time-Optimal Trajectory Planning for Robo ts Using Improved Carnivorous Plant Algorithm)

重庆邮电大学的研究为机器人技术提供了新的研究成果(基于改进的食肉植物算法的机器人平滑和时间最优轨迹规划)

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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新闻-调查人员讨论机器人学的新发现。根据来自重庆的消息,由News Rx编辑撰写的这项研究称,“为了提高安全性和可靠性。”本文针对ic机械手在高速精密运动过程中的光滑化问题,提出了一种以及纳入动力学约束的时间最优轨迹规划。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in robotics. A ccording to news originating from Chongqing,People’s Republic of China, by News Rx editors, the research stated, “To improve the safety and reliabilityof robot ic manipulators during high-speed precision movements, this paper proposes a met hod for smoothand time-optimal trajectory planning incorporating kinodynamic co nstraints.”

Key words

Chongqing University of Posts and Teleco mmunications/Chongqing/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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