首页|Study Data from Shanghai Jiao Tong University Provide New Insights into Robotics (Robust Neural Dynamics Method for Redundant Robot Manipulator Control With Phy sical Constraints)
Study Data from Shanghai Jiao Tong University Provide New Insights into Robotics (Robust Neural Dynamics Method for Redundant Robot Manipulator Control With Phy sical Constraints)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics are presented i n a new report. According to news reporting out of Shanghai, People's Republic o f China, by NewsRx editors, research stated, “Redundant robot manipulators play a significant role in modern industry. In this article, we propose a solution sc heme to the trajectory tracking problem of the redundant robot manipulator with physical constraints through the Zhang neural dynamics method.”
ShanghaiPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsShanghai Jiao Tong University
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