A MACHINE LEARNING APPROACH IN PLANAR MECHANISM TRAJECTORY APPROXIMATION

Tiberiu Alexandru ANTAL

Abstract


Determining the motion path of a point (or link) in a mechanism based on given input motion or designing a mechanism such that a specific point follows a desired trajectory (or motion profile) are key areas in kinematic design for planar and spatial mechanisms. The present work aims to find in the trajectories generated by mechanisms sequences of points that satisfy with a given approximation certain conditions in order to classify them into categories such as line (or arc) with the help of artificial intelligence.


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