首页|Investigators at Shanghai Jiao Tong University Report Findings in Robotics (Opti mal Multi-robot Path Planning for Cyclic Tasks Using Petri Nets)
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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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.”
ShanghaiPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRobotRoboticsShanghai Jiao Tong University
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