Mani14a
M. Bakthavatchalam, O. Tahri, F. Chaumette. Improving Moments-based Visual Servoing with Tunable Visual Features. In IEEE Int. Conf. on Robotics and Automation, ICRA'14, Pages 6186-6191, Hong Kong, China, June 2014.
Download [help]
Download Hal paper:
Download paper:
Adobe portable document (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
In this paper, we introduce the concept of tunable visual features for moments based visual servoing schemes. The main contribution of this work is the introduction of tunable shift points along with some effective methods to tune them. We propose two different metrics: the first metric ensures optimal response of the control to errors in the image space and the second metric ensures orthogonality between the interaction matrix components (vectors) related to the control of x and y rotational motions. With the proposed method, it is possible to design moment invariants-based visual features whose interaction matrix is always non-singular for any desired pose (parallel or non-parallel). Thus, this work makes a significant contribution to the difficult problem of controlling the rotational motions around the x and y axes, when all the 6dof are involved. Two case studies are presented to demonstrate the validity of the proposed ideas. Results from each case are then used to design a moment invariants-based visual feature. This visual feature is used for visual servoing with a symmetrical object using binary moments and a free- form planar target using photometric moments
Contact
BibTex Reference
@InProceedings{Mani14a,
Author = {Bakthavatchalam, M. and Tahri, O. and Chaumette, F.},
Title = {Improving Moments-based Visual Servoing with Tunable Visual Features},
BookTitle = {IEEE Int. Conf. on Robotics and Automation, ICRA'14},
Pages = {6186--6191},
Address = {Hong Kong, China},
Month = {June},
Year = {2014}
}
EndNote Reference [help]
Get EndNote Reference (.ref)