Robotics & Machine Learning Daily News2024,Issue(Mar.18) :78-78.DOI:10.1109/TASE.2023.3346049

New Robotics Study Results from Hunan University Described (Toward Safe Distribu ted Multi-robot Navigation Coupled With Variational Bayesian Model)

Robotics & Machine Learning Daily News2024,Issue(Mar.18) :78-78.DOI:10.1109/TASE.2023.3346049

New Robotics Study Results from Hunan University Described (Toward Safe Distribu ted Multi-robot Navigation Coupled With Variational Bayesian Model)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting out of Changsha, People’s Republic o f China, by NewsRx editors, research stated, “Designing a safe and effective col lision avoidance policy for multiple robots is essential in decentralized scenar ios, where each robot is responsible for generating its own paths, to ensure the ir safe operation. Recently, the utilization of reinforcement learning to develo p decentralized policies that enable multiple robots to move cooperatively and a ccomplish tasks has yielded positive outcomes.”

Key words

Changsha/People’s Republic of China/As ia/Emerging Technologies/Machine Learning/Nano-robot/Reinforcement Learning/Robot/Robotics/Hunan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量36
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