首页|Researcher at Chinese Academy of Sciences Releases New Study Findings on Cyborg and Bionic Systems (Learning Playing Piano with Bionic-Constrained Diffusion Pol icy for Anthropomorphic Hand)
Researcher at Chinese Academy of Sciences Releases New Study Findings on Cyborg and Bionic Systems (Learning Playing Piano with Bionic-Constrained Diffusion Pol icy for Anthropomorphic Hand)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on cyborg and bionic syste ms is now available. According to news originating from Beijing, People’s Republ ic of China, by NewsRx editors, the research stated, “Anthropomorphic hand manip ulation is a quintessential example of embodied intelligence in robotics, presen ting a notable challenge due to its high degrees of freedom and complex inter-jo int coupling.” Financial supporters for this research include National Nature Science Foundatio n of China; State Key Laboratory of Drug Research, Chinese Academy of Sciences. Our news editors obtained a quote from the research from Chinese Academy of Scie nces: “Though recent advancements in reinforcement learning (RL) have led to sub stantial progress in this field, existing methods often overlook the detailed st ructural properties of anthropomorphic hands. To address this, we propose a nove l deep RL approach, Bionic-Constrained Diffusion Policy (Bio-CDP), which integra tes knowledge of human hand control with a powerful diffusion policy representat ion. Our bionic constraint modifies the action space of anthropomorphic hand con trol, while the diffusion policy enhances the expressibility of the policy in hi gh-dimensional continuous control tasks.”By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on cyborg and bionic syste ms is now available. According to news originating from Beijing, People’s Republ ic of China, by NewsRx editors, the research stated, “Anthropomorphic hand manip ulation is a quintessential example of embodied intelligence in robotics, presen ting a notable challenge due to its high degrees of freedom and complex inter-jo int coupling.” Financial supporters for this research include National Nature Science Foundatio n of China; State Key Laboratory of Drug Research, Chinese Academy of Sciences. Our news editors obtained a quote from the research from Chinese Academy of Scie nces: “Though recent advancements in reinforcement learning (RL) have led to sub stantial progress in this field, existing methods often overlook the detailed st ructural properties of anthropomorphic hands. To address this, we propose a nove l deep RL approach, Bionic-Constrained Diffusion Policy (Bio-CDP), which integra tes knowledge of human hand control with a powerful diffusion policy representat ion. Our bionic constraint modifies the action space of anthropomorphic hand con trol, while the diffusion policy enhances the expressibility of the policy in hi gh-dimensional continuous control tasks.”
Chinese Academy of SciencesBeijingPe ople’s Republic of ChinaAsiaCyborg and Bionic SystemsTechnology
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