Home /Research /Identifying and localizing robots in a multi-robot system environment
SWARM

Identifying and localizing robots in a multi-robot system environment

Koichi Kato, Hiroshi Ishiguro, Matthew Barth

Year
2003
Citations
43

Abstract

Development of multiple robot systems which solve complex and dynamic problems in parallel and distributed manners is one of the key issues in robotics research. The multiple robot systems require robust methods to identify robots for collaborative behaviors. This paper proposes a method using omnidirectional vision sensors for the identification between the robots. In addition to the several advantages of the omnidirectional vision sensor as a vision of a mobile robot, the omnidirectional vision sensor brings a significant benefit for realizing collaborative behaviors in multiple robot systems. After discussing on the algorithm, this paper shows several simulation results and real experimental results in a real environment.

Keywords

RobotComputer scienceMobile robotHuman–computer interactionArtificial intelligence

Related papers

Browse all SWARM papers