Jump to : Download | Abstract | Contact | BibTex reference | EndNote reference |

Lapreste04b

J.-T. Lapresté, F. Jurie, M. Dhome, F. Chaumette. An efficient method to compute the inverse Jacobian matrix in visual servoing. In IEEE Int. Conf. on Robotics and Automation, ICRA'04, Volume 1, Pages 727-732, New Orleans, Louisiana, April 2004.

Download [help]

Download Hal paper: Hal : Hyper Archive en ligne

Download paper: Adobe portable document (pdf) pdf

Copyright notice:

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. This page is automatically generated by bib2html v217, © Inria 2002-2024, Projet Lagadic/Rainbow

Abstract

The paper presents a method for estimating the inverse Jacobian matrix of a function, without computing the direct Jacobian matrix. The resulting inverse Jacobian matrix is shown to perform much better in modelling a relation $\theta= f^{-1}(x)$ than the classical Moore-Penrose inverse $J^+_f$ . Theoretical insight as well as comparisons in the domain of visual servoing are provided to demonstrate this assertion

Contact

Francois Chaumette

BibTex Reference

@InProceedings{Lapreste04b,
   Author = {Lapresté, J.-T. and Jurie, F. and Dhome, M. and Chaumette, F.},
   Title = {An efficient method to compute the inverse Jacobian matrix in visual servoing},
   BookTitle = {IEEE Int. Conf. on Robotics and Automation, ICRA'04},
   Volume = {    1},
   Pages = {727--732},
   Address = {New Orleans, Louisiana},
   Month = {April},
   Year = {2004}
}

EndNote Reference [help]

Get EndNote Reference (.ref)