Robotics & Machine Learning Daily News2024,Issue(Dec.9) :108-109.

Data from Tianjin University Provide New Insights into Robotics (Multi-station M ulti-robot Task Assignment Method Based On Deep Reinforcement Learning)

Robotics & Machine Learning Daily News2024,Issue(Dec.9) :108-109.

Data from Tianjin University Provide New Insights into Robotics (Multi-station M ulti-robot Task Assignment Method Based On Deep Reinforcement Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Robotics is now availab le. According to news originating fromTianjin, People’s Republic of China, by N ewsRx correspondents, research stated, “This paper focuses onthe problem of mul ti-station multi-robot spot welding task assignment, and proposes a deep reinfor cementlearning (DRL) framework, which is made up of a public graph attention ne twork and independent policynetworks. The graph of welding spots distribution i s encoded using the graph attention network.”

Key words

Tianjin/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Robot ics/Tianjin University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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