Cherubini10a
A. Cherubini, F. Chaumette. A redundancy-based approach for obstacle avoidance in mobile robot navigation. In IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'10, Pages 5700-5705, Taipei, Taiwan, October 2010.
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 propose a framework for visual navigation with simultaneous obstacle avoidance. The obstacles are modeled by using a vortex potential field, derived from an occupancy grid. Kinematic redundancy guarantees that obstacle avoidance and navigation are achieved concurrently, and the whole scheme is merely sensor-based. The problem is solved both in an obstacle-free and in a dangerous context, and the control law is smoothened in the intermediate situations. In a series of simulations, we show that with our framework, a robot can replay a taught visual path while avoiding collisions, even in the presence of visual occlusions
Contact
BibTex Reference
@InProceedings{Cherubini10a,
Author = {Cherubini, A. and Chaumette, F.},
Title = {A redundancy-based approach for obstacle avoidance in mobile robot navigation},
BookTitle = {IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'10},
Pages = {5700--5705},
Address = {Taipei, Taiwan},
Month = {October},
Year = {2010}
}
EndNote Reference [help]
Get EndNote Reference (.ref)