Robotics & Machine Learning Daily News2024,Issue(Apr.24) :25-26.

Research Results from Shanghai Jiao Tong University Update Understandingof Robo tics (An Integrated Approach to Precedence-Constrained Multi-Agent Task Assignme nt and Path Finding for Mobile Robots in Smart Manufacturing)

Robotics & Machine Learning Daily News2024,Issue(Apr.24) :25-26.

Research Results from Shanghai Jiao Tong University Update Understandingof Robo tics (An Integrated Approach to Precedence-Constrained Multi-Agent Task Assignme nt and Path Finding for Mobile Robots in Smart Manufacturing)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news originatingfrom Shanghai, People’s Republic o f China, by NewsRx correspondents, research stated, “Mobile robotsplay an impor tant role in smart factories, though efficient task assignment and path planning for theserobots still present challenges.”

Key words

Shanghai Jiao Tong University/Shanghai/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano -robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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