Robotics & Machine Learning Daily News2024,Issue(Dec.4) :56-56.

New Findings from Shanghai Jiao Tong University Describe Advances in Robotics (O nline Task Allocation and Scheduling In Multi-manipulator System Considering Col lision Constraints and Unknown Tasks)

上海交通大学的新发现描述了机器人技术的进展(考虑碰撞约束和未知任务的多机械臂系统的在线任务分配和调度)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :56-56.

New Findings from Shanghai Jiao Tong University Describe Advances in Robotics (O nline Task Allocation and Scheduling In Multi-manipulator System Considering Col lision Constraints and Unknown Tasks)

上海交通大学的新发现描述了机器人技术的进展(考虑碰撞约束和未知任务的多机械臂系统的在线任务分配和调度)

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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-机器人的最新研究结果已经公布。根据新闻报道NewsRx记者的研究称,源自中国人民共和国上海,“相比之下,”对于单个机器人,多机器人系统(MRS)在复杂的多任务场景中提供了几个优点。MRS的总体效率在很大程度上依赖于一个高效的任务定位和调度过程。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating in Shanghai, People’s R epublic of China, by NewsRx journalists, research stated, “Comparedto a single robot, multi -robot systems (MRS) offer several advantages in complex multi -tas k scenarios.The overall efficiency of MRS relies heavily on an efficient task a llocation and scheduling process.”

Key words

Shanghai/People’s Republic of China/As ia/Emerging Technologies/Machine Learning/Robot/Robotics/Shanghai Jiao Tong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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