Robotics & Machine Learning Daily News2024,Issue(Apr.17) :111-112.

Investigators at University of Georgia Report Findings in Robotics (Communicatio n-efficient Multi-robot Exploration Using Coveragebiased Distributed Q-learning )

Robotics & Machine Learning Daily News2024,Issue(Apr.17) :111-112.

Investigators at University of Georgia Report Findings in Robotics (Communicatio n-efficient Multi-robot Exploration Using Coveragebiased Distributed Q-learning )

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting originating inAthens, Georgia, by NewsRx jo urnalists, research stated, “Frontier exploration and reinforcement learninghav e historically been used to solve the problem of enabling many mobile robots to autonomously andcooperatively explore complex surroundings. These methods need to keep an internal global map for navigation, but they do not consider the high costs of communication and information sharing betweenrobots.”

Key words

Athens/Georgia/United States/North an d Central America/Emerging Technologies/Machine Learning/Nano-robot/Reinforc ement Learning/Robot/Robotics/University of Georgia

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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