Robotics & Machine Learning Daily News2024,Issue(Aug.2) :74-74.

Investigators at Shanghai Jiao Tong University Report Findings in Robotics (Opti mal Multi-robot Path Planning for Cyclic Tasks Using Petri Nets)

Robotics & Machine Learning Daily News2024,Issue(Aug.2) :74-74.

Investigators at Shanghai Jiao Tong University Report Findings in Robotics (Opti mal Multi-robot Path Planning for Cyclic Tasks Using Petri Nets)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting originating in Shanghai, Peop le’s Republic of China, by NewsRx journalists, research stated, “Inthis paper, we investigate the problem of optimal multi-robot path planning for cyclic tasks represented bya particular type of linear-temporal logic (LTL) formulae. Speci fically, the team of robot needs to fulfill agiven LTL formula and at the same time, accomplishes some particular tasks infinitely often.”

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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