Robot motion simulation using wavelet neural network

Abstract

A technique for robot motion simulation is proposed with imaged-based view synthesis. An eigen space method is used to acquire compact representations of the images. A wavelet neural network is utilized to map joint positions into the compact representations. The trajectory in the joint space is first planned to generate a joint sequence, and the image sequence of the robot motion is synthesized directly from reference images. No calibration is needed. Experiment results are demonstrated.