首页|Studies from Zhengzhou University in the Area of Robotics Described (Integrated Model of Cerebellal Supervised Learning and Basal Ganglia’s Reinforcement Learni ng for Mobile Robot Behavioral Decision-making)
Studies from Zhengzhou University in the Area of Robotics Described (Integrated Model of Cerebellal Supervised Learning and Basal Ganglia’s Reinforcement Learni ng for Mobile Robot Behavioral Decision-making)
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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 reportingout of Henan, People’s Republic of China, by NewsRx editors, research stated, “Behavioral decision-makingin unknow n environments of mobile robots is a crucial research topic in robotics. Inspire d by the workingmechanism of different brain regions in mammals, this paper des igned anew hybrid model integratingthe functions of cerebellum and basal gangli a by simulating the memory replay of hippocampus, so as torealize the autonomou s behavioral decision-making of robot in unknown environments.”
HenanPeople’s Republic of ChinaAsiaBasal GangliaBrainBrain ResearchBrain StemCentral Nervous SystemCereb ellumCerebrumEmerging TechnologiesMachine LearningMetencephalonProsenc ephalonReinforcement LearningRobotRoboticsSupervised LearningZhengzhou University
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