首页|Investigators from South China University of Technology Release New Data on Robo tics (Task Attention-based Multimodal Fusion and Curriculum Residual Learning fo r Context Generalization In Robotic Assembly)
Investigators from South China University of Technology Release New Data on Robo tics (Task Attention-based Multimodal Fusion and Curriculum Residual Learning fo r Context Generalization In Robotic Assembly)
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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 originatingfrom Guangzhou, People’s Republic o f China, by NewsRx correspondents, research stated, “In the domainof flexible m anufacturing, Deep Reinforcement Learning (DRL) has emerged as a pivotal technol ogy forrobotic assembly tasks. Despite advancements in sample efficiency and in teraction safety through residualreinforcement learning with initial policies, challenges persist in achieving context generalization amidststochastic systems characterized by large random errors and variable backgrounds.”
GuangzhouPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningReinforcement LearningRoboticsRobotsSouth China University of Technology
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