Robotics & Machine Learning Daily News2024,Issue(Sep.26) :33-34.

Study Findings from University of Science and Technology Provide New Insights in to Robotics (Benchmark for Multi-agent Pickup and Delivery Problem In a Robotic Mobile Fulfillment System)

Robotics & Machine Learning Daily News2024,Issue(Sep.26) :33-34.

Study Findings from University of Science and Technology Provide New Insights in to Robotics (Benchmark for Multi-agent Pickup and Delivery Problem In a Robotic Mobile Fulfillment System)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Robotics. A ccording to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “The Robotic Mobile Fulfillment System (RMFS) is a ‘g oods-to-worker’ system that utilizes pods to store goods and employs robots for pods movement. In the RMFS, the multi-agent pickup and delivery (MAPD) problem w hich robots complete pickup and delivery tasks and ensure that there are no conf licts has been extensively studied.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Key R&D Program of China.

Key words

Beijing/People’s Republic of China/Asi a/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robot ics/Robots/University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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