Scaling effects in multi-robot control - Robotics Institute Carnegie Mellon University

Scaling effects in multi-robot control

Prasanna Velagapudi, Paul Scerri, Katia Sycara, Wang-Hsuan Lee, and J. Wang
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2121 - 2126, September, 2008

Abstract

The present study investigates the effect of the number of controlled robots on performance of an urban search and rescue (USAR) task using a realistic simulation. Task performance increased in going from four to eight controlled robots but deteriorated in moving from eight to twelve. Workload increased monotonically with number of robots. Performance per robot decreased with increases in team size. Results are consistent with earlier studies suggesting a limit of between 8-12 robots for direct human control. This study demonstrates that these findings generalize to a more realistic setting and complex task.

BibTeX

@conference{Velagapudi-2008-10061,
author = {Prasanna Velagapudi and Paul Scerri and Katia Sycara and Wang-Hsuan Lee and and J. Wang},
title = {Scaling effects in multi-robot control},
booktitle = {Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {2008},
month = {September},
pages = {2121 - 2126},
}