Robotics & Machine Learning Daily News2024,Issue(Nov.11) :16-17.

New Robotics Study Findings Have Been Reported by Investigatorsat Southeast Uni versity (Robust Collision-avoidance FormationNavigation of Velocity and Input-c onstrained Multirobot Systems)

研究人员报告了新的机器人研究结果东南大学(坚固的避碰构造)速度和输入约束多机器人系统的导航

Robotics & Machine Learning Daily News2024,Issue(Nov.11) :16-17.

New Robotics Study Findings Have Been Reported by Investigatorsat Southeast Uni versity (Robust Collision-avoidance FormationNavigation of Velocity and Input-c onstrained Multirobot Systems)

研究人员报告了新的机器人研究结果东南大学(坚固的避碰构造)速度和输入约束多机器人系统的导航

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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。根据新闻报道在南京,中国,由NewsRx编辑,研究表明,“在这项工作中,我们认为,”多机器人在多障碍物复杂环境中的安全部署问题。当一个团队速度和输入受限的机器人要从e区域移动到另一区域,需要一种鲁棒的避碰为了实现安全转移,需要采用编队导航方法。

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 reportingout of Nanjing, People’s Republic o f China, by NewsRx editors, research stated, “In this work, we considerthe safe deployment problem of multiple robots in an obstacle-rich complex environment. When a teamof velocity and input-constrained robots is required to move from on e area to another, a robust collisionavoidanceformation navigation method is n eeded to achieve safe transferring.”

Key words

Nanjing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Southeast Univ ersity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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