Robotics & Machine Learning Daily News2024,Issue(Apr.12) :115-116.

Findings from Italian Institute of Technology Update Understanding of Robotics ( Resprect: Speeding-up Multi-fingered Grasping With Residual Reinforcement Learning)

Robotics & Machine Learning Daily News2024,Issue(Apr.12) :115-116.

Findings from Italian Institute of Technology Update Understanding of Robotics ( Resprect: Speeding-up Multi-fingered Grasping With Residual Reinforcement Learning)

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Abstract

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.”

Key words

Genoa/Italy/Europe/Emerging Technolog ies/Machine Learning/Reinforcement Learning/Robotics/Robots/Italian Institu te of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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