Experiments with a Large Heterogeneous Mobile Robot Team: Exploration, Mapping, Deployment and Detection

Author:

Howard Andrew1,Parker Lynne E.2,Sukhatme Gaurav S.3

Affiliation:

1. Robotics Research Laboratory, Department of Computer Science, University of Southern California,

2. Distributed Intelligence Laboratory, Department of Computer Science, University of Tennessee

3. Robotics Research Laboratory, Department of Computer Science, University of Southern California

Abstract

We describe the design and experimental validation of a large heterogeneous mobile robot team built for the DARPA Software for Distributed Robotics (SDR) program. The core challenge for the SDR program was to develop a multi-robot system capable of carrying out a specific mission: to deploy a large number of robots into an unexplored building, map the building interior, detect and track intruders, and transmit all of the above information to a remote operator. To satisfy these requirements, we developed a heterogeneous robot team consisting of approximately 80 robots. We sketch the key technical elements of this team, focusing on the novel aspects, and present selected results from supervised experiments conducted in a 600 m 2 indoor environment.

Publisher

SAGE Publications

Subject

Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modelling and Simulation,Software

Reference8 articles.

1. Balch, T. and Arkin, R. 1998. Behavior-based formation control for multi-robot teams . IEEE Transactions on Robotics and Automation, pp. 926-939 .

2. A note on two problems in connexion with graphs

3. Li, D., Wong, K., Hu, Y., and Sayeed, A. 2002. Detection, classification and tracking of targets in distributed sensor networks . IEEE Signal Processing Magazine, pp. 17-29 , March.

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