Robotics & Machine Learning Daily News2024,Issue(Dec.5) :140-141.

Researchers’ Work from National University of Defense Technology Focuses on Robo tics (Cooperative Motion Planning of Multiple Automated Vehicle Robots: a Quick Iot-based Approach)

国防科技大学的研究人员的工作重点是Robo Tics(多自动车辆机器人的协作运动规划:基于物联网的快速方法)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :140-141.

Researchers’ Work from National University of Defense Technology Focuses on Robo tics (Cooperative Motion Planning of Multiple Automated Vehicle Robots: a Quick Iot-based Approach)

国防科技大学的研究人员的工作重点是Robo Tics(多自动车辆机器人的协作运动规划:基于物联网的快速方法)

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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-研究人员用机器人S详细介绍了新数据。中华人民共和国,由News Rx记者,研究称,“在本文中,我们建议互联网环境下多机器人运动规划(MRMP)问题的混合控制在(IoT)环境中,封闭工作区作为离散事件系统“抽象d”(DES)它被建模为时间Petri网。在DES算法中,机器人在相邻冲突区域之间的运动是通过考虑机器人的运动学,将其视为一个'运动'。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news originating from Hubei,People’s Republic of China, by News Rx correspondents, research stated, “In this article, we propose anovel hybrid control approach for solving the multirobot motion planning (MRMP) problem in th e Internetof Things (IoT) environment, where the closed workspace is ‘abstracte d’ as a discrete-event system (DES)that is modeled as a timed Petri net. In the DES, robot’s movement between adjacent confliction zones isviewed as a ‘transi tion,’ by taking the robot kinematics into consideration.”

Key words

Hubei/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/National University of Defense Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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