Robotics & Machine Learning Daily News2024,Issue(Jun.7) :55-56.

Investigators from Beijing University of Posts and Telecommunications Target Rob otics (Adaptive Virtual Leader-leader-follower Based Formation Switching for Mul tiple Autonomous Tracked Mobile Robots In Unknown Obstacle Environments)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :55-56.

Investigators from Beijing University of Posts and Telecommunications Target Rob otics (Adaptive Virtual Leader-leader-follower Based Formation Switching for Mul tiple Autonomous Tracked Mobile Robots In Unknown Obstacle Environments)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating from Beijing, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “This article investigates the f ormation switching problem of a group of autonomous tracked mobile robots (ATMRs ) traveling in unknown obstacle environments. Firstly, a novel formation structu re model of virtual leader-leader-follower is designed, where the leader tracks the virtual leader determined by a reference trajectory, while the followers tra ck their desired positions dictated by the virtual leader.” Funders for this research include Science and Technology Project of Fire and Res cue Bureau of Emergency Management Department, Beijing Chaoyang District Collabo rative Innovation Project.

Key words

Beijing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Beijing Univer sity of Posts and Telecommunications

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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