This paper presents a methodology for localizing the members of a heterogeneous team of mobile robots in an unstructured and unknown environment. In this approach robots are being divided into two groups: (1) localizers, and (2) missioners. The localizers are equipped with precise non-contact sensors such as laser range finders and/or vision. Therefore, they can find the distance, bearing and orientation of the other robots with high accuracy, as long as they are in localizer's field of view. The missioners would be equipped with simple odometry and/or local range sensors (i.e., SONAR, Infrared etc.) for collision avoidance. All robots are capable of cross communication by passing messages via a network. When a missioner is being detected by a localizer, it receives a message from the localizer which contains missioner's precise position information. Hence it is able to update its belief about its position on fly. The effect of this methodology in a distributed sensing task in the context of solving a multi-depot traveling salesman problem (MDTSP) has been briefly addressed where missioners go through sub-optimal paths to their target positions being assigned through an auction process
[1]
Wolfram Burgard,et al.
A Probabilistic Approach to Collaborative Multi-Robot Localization
,
2000,
Auton. Robots.
[2]
Anthony Stentz,et al.
Traderbots: a new paradigm for robust and efficient multirobot coordination in dynamic environments
,
2004
.
[3]
Ryo Kurazume,et al.
An Experimental Study of a Cooperative Positioning System
,
2000,
Auton. Robots.
[4]
Richard T. Vaughan,et al.
The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems
,
2003
.
[5]
Stergios I. Roumeliotis,et al.
Collective localization: a distributed Kalman filter approach to localization of groups of mobile robots
,
2000,
Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[6]
W. Burgard,et al.
Markov Localization for Mobile Robots in Dynamic Environments
,
1999,
J. Artif. Intell. Res..