Abstract
Current study results on Robotics have been published. According to news reporting originating in Tianjin, People's Re public of China, by NewsRx journalists, research stated, "Dynamic modeling for c ontinuum robots remains challenging due to their large nonlinear deformation and the variation of dynamic parameters during movement. In this paper, a lumpedmas s dynamic model (LMD) for a continuum robot is constructed including elastic and viscous parameters in the robotic joints." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news reporters obtained a quote from the research from Tianjin University, " Then the appropriate dynamic parameters (e.g. spring and damping coefficients of the LMD) with respect to the motion status (e.g. position and velocity of the r obot) are estimated using a Genetic Algorithm (GA). Based on the obtained data s et, a MultiLayer Perception (MLP) is trained to establish a direct mapping from the motion status to the dynamic parameters, so the LMD can tune its parameters in real-time when moving within the workspace, resulting an adaptive lumped-mass dynamic model (ALMD)."
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