首页|Findings from Italian Institute of Technology Update Understanding of Robotics ( Resprect: Speeding-up Multi-fingered Grasping With Residual Reinforcement Learning)
Findings from Italian Institute of Technology Update Understanding of Robotics ( Resprect: Speeding-up Multi-fingered Grasping With Residual Reinforcement Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating from Genoa, Italy, by N ewsRx correspondents, research stated, “Deep Reinforcement Learning(DRL) has pr oven effective in learning control policies using robotic grippers, but much les s practical forsolving the problem of grasping with dexterous hands - especiall y on real robotic platforms - due to thehigh dimensionality of the problem. In this letter, we focus on the multi-fingered grasping task with theanthropomorph ic hand of the iCub humanoid.”
GenoaItalyEuropeEmerging Technolog iesMachine LearningReinforcement LearningRoboticsRobotsItalian Institu te of Technology
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