首页|Findings from Italian Institute of Technology in the Area of Robotics Described (Srl-vic: a Variable Stiffness-based Safe Reinforcement Learning for Contact-ric h Robotic Tasks)
Findings from Italian Institute of Technology in the Area of Robotics Described (Srl-vic: a Variable Stiffness-based Safe Reinforcement Learning for Contact-ric h Robotic Tasks)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news originating from Genoa, Italy, by NewsRx corr espondents, research stated, “Reinforcement learning (RL) has emerged as a promi sing paradigm in complex and continuous robotic tasks, however, safe exploration has been one of the main challenges, especially in contact-rich manipulation ta sks in unstructured environments. Focusing on this issue, we propose SRL-VIC: a model-free safe RL framework combined with a variable impedance controller (VIC) .” Financial support for this research came from European Union#x0027; s Horizon 2020 Research and Innovation Programme SOPHIA.
GenoaItalyEuropeEmerging Technolog iesMachine LearningReinforcement LearningRoboticsRobotsItalian Institu te of Technology
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