Researchers from Hebei University of Technology Report Findings in Robotics (A T rajectory Planning Method for Robotic Arms Based On Improved Dynamic Motion Prim itives)
Researchers from Hebei University of Technology Report Findings in Robotics (A T rajectory Planning Method for Robotic Arms Based On Improved Dynamic Motion Prim itives)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “Purpose- Traditional robot arm traject ory planning methods have problems such as insufficient generalization performan ce and low adaptability. This paper aims to propose a method to plan the robot a rm’s trajectory using the trajectory learning and generalization characteristics of dynamic motion primitives (DMPs).Design/methodology/approachThis study align s multiple demonstration motion primitives using dynamic time warping; use the G aussian mixture model and Gaussian mixture regression methods to obtain the idea l primitive trajectory actions.”
Key words
Tianjin/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robot/Robotics/Robots/Hebei Unive rsity of Technology
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