Robotics & Machine Learning Daily News2024,Issue(Jun.24) :64-65.

Recent Studies from Beihang University Add New Data to Robotics (Velocity-based Rack Storage Location Assignment for the Unidirectional Robotic Mobile Fulfillme nt System)

Robotics & Machine Learning Daily News2024,Issue(Jun.24) :64-65.

Recent Studies from Beihang University Add New Data to Robotics (Velocity-based Rack Storage Location Assignment for the Unidirectional Robotic Mobile Fulfillme nt System)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Robotic s. According to news originating from Beijing, People's Republic of China, by Ne wsRx correspondents, research stated, "Nowadays, the robotic mobile fulfillment system (RMFS) has been increasingly used by online retailers. Compared with trad itional picker -to -parts warehouses, the racks of RMFS do not have to return to the same location after picking, thus we can dynamically change their locations , which brings great potential to efficiently fulfill orders." Funders for this research include National Natural Science Foundation of China ( NSFC), China Postdoctoral Science Foundation.

Key words

Beijing/People's Republic of China/Asi a/Emerging Technologies/Machine Learning/Robotics/Robots/Beihang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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