首页|Investigators from Chinese Academy of Sciences Have Reported New Data on Robotic s (Generalizable and Precise Control Based On Equilibrium-point Hypothesis for M usculoskeletal Robotic System)
Investigators from Chinese Academy of Sciences Have Reported New Data on Robotic s (Generalizable and Precise Control Based On Equilibrium-point Hypothesis for M usculoskeletal Robotic System)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news originating from Beijing, People’s Republic of China , by NewsRx correspondents, research stated, “PurposeThe purpose of this study i s realizing human-like motions and performance through musculoskeletal robots an d brain-inspired controllers. Human-inspired robotic systems, owing to their pot ential advantages in terms of flexibility, robustness and generality, a deep forward neural network (DFNN) controller was proposed inspir ed by the neural mechanisms of equilibrium-point hypothesis (EPH) and musculoske letal dynamics.FindingsFirst, the neural mechanism of EPH in human was analyzed, providing the basis for the control scheme of the proposed method.” Financial supporters for this research include Major Project of Science and Tech nology Innovation, National Natural Science Foundation of China (NSFC).
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRoboticsRobotsChines e Academy of Sciences
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