Robot motion simulation using wavelet neural network

Qingjie Zhao*, Zengqi Sun

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

A technique for robot motion simulation is proposed with imaged-based view synthesis. 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. The experiment results are demonstrated.

Original languageEnglish
Pages873-877
Number of pages5
Publication statusPublished - 2002
Externally publishedYes
Event2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States
Duration: 12 May 200217 May 2002

Conference

Conference2002 International Joint Conference on Neural Networks (IJCNN '02)
Country/TerritoryUnited States
CityHonolulu, HI
Period12/05/0217/05/02

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