首页|Recent Research from Shanghai Jiao Tong University Highlight Findings in Robotic s (Reinforcement Learning-based Distributed Impedance Control of Robots for Comp liant Operation In Tight Interaction Tasks)
Recent Research from Shanghai Jiao Tong University Highlight Findings in Robotic s (Reinforcement Learning-based Distributed Impedance Control of Robots for Comp liant Operation In Tight Interaction Tasks)
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Current study results on Robotics have been published. According to news originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "It is challenging to achie ve compliant operation in tight interaction tasks, where closed-loop constraints are formed between the robots or between a robot and the environment. Complex d ynamic interactions and uncertain parameters degrade the performance of model-ba sed controllers." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), China Postdoctoral Science Foundation, Natural Science Found ation of Chongqing, Science and Technology Research Program of Chongqing Municip al Education Commission, Opening Foundation of Key Laboratory of Intelligent Rob ot, Open Project of Fujian Key Laboratory of Spatial Information Perception and Intelligent Processing.
ShanghaiPeople's Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotReinforcement LearningRobotRoboticsShanghai Jiao Tong University
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