首页|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)

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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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.”

Shanghai Jiao Tong UniversityShanghaiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano -robotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.24)