首页|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)
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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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.”
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningReinforcement LearningRoboticsRo botsInstitute of Automation
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