Robotics & Machine Learning Daily News2024,Issue(Apr.25) :55-56.

Report Summarizes Robotics Study Findings from Institute of Automation (Enhancin g Efficiency and Propulsion In Bio-mimetic Robotic Fish Through End-to-end Deep Reinforcement Learning)

Robotics & Machine Learning Daily News2024,Issue(Apr.25) :55-56.

Report Summarizes Robotics Study Findings from Institute of Automation (Enhancin g Efficiency and Propulsion In Bio-mimetic Robotic Fish Through End-to-end Deep Reinforcement Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reporting outof Beijing, People’s Republic of China, by NewsRx editors, research stated, “Aquatic organisms are knownfor thei r ability to generate efficient propulsion with low energy expenditure. While ex isting research hassought to leverage bio-inspired structures to reduce energy costs in underwater robotics, the crucial role ofcontrol policies in enhancing efficiency has often been overlooked.”

Key words

Beijing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Reinforcement Learning/Robotics/Ro bots/Institute of Automation

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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