Image-based robot motion simulation

16Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper describes an image-based robot animation technique. The technique utilizes eigen space method to generate compact representations of images from a set of reference images. A wavelet neural network is used to learn the relationship between robot joints and image representations. The learning algorithm is Quasi-Newton algorithm with Levenberg-Marquardt modifications. The trajectory in the joint space is first planned to generate a joint sequence. A corresponding sequence of representations can be obtained through the trained wavelet neural network and the image sequence can be synthesized using the result of eigen space method. No a priori models of robot and camera or any calibrations are needed. The virtual motion of the robot UP6 is demonstrated. © 2002 Elsevier Science B.V. All rights reserved.

Cite

CITATION STYLE

APA

Zhao, Q., & Sun, Z. (2002). Image-based robot motion simulation. Optics Communications, 205(4–6), 257–263. https://doi.org/10.1016/S0030-4018(02)01357-3

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free