New Robotics Study Results from Guizhou Normal University Described (A Numerical Approximation Approach for Deriving Computational Efficient Inverse Dynamics of 6-dof Parallel Robots Based On Principle of Virtual Work)
New Robotics Study Results from Guizhou Normal University Described (A Numerical Approximation Approach for Deriving Computational Efficient Inverse Dynamics of 6-dof Parallel Robots Based On Principle of Virtual Work)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subject of a report. According to news reporting originating from Guiyang, People’s Re public of China, by NewsRx correspondents, research stated, “The inverse dynamic s of the six degree-of-freedom (6-DOF) parallel robot (PR) presents an inherent complexity due to the closed-loop kinematic chains. To derive computational efficient inverse dynamics for real-time control, this study presents a numerical approximation (NA) approach based on the principle of virtual work.”
Key words
Guiyang/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Guizhou Normal University
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