conference paper
Specialization as an Optimal Strategy Under Varying External Conditions
2009
Proc. of the 2009 IEEE Int. Conf. on Robotics and Automation
We present an investigation of specialization when considering the execution of collaborative tasks by a robot swarm. Specifically, we consider the stick-pulling problem first proposed by Martinoli et al. [1], [2] and develop a macroscopic analytical model for the swarm executing a set of tasks that require the collaboration of two robots. We show, for constant external conditions, maximum productivity can be achieved by a single species swarm with carefully chosen operational parameters. While the same applies for a two species swarm, we show how specialization is a strategy best employed for changing external conditions.
Type
conference paper
Author(s)
Date Issued
2009
Published in
Proc. of the 2009 IEEE Int. Conf. on Robotics and Automation
Start page
1941
End page
1946
Editorial or Peer reviewed
NON-REVIEWED
Written at
EPFL
EPFL units
| Event name | Event place | Event date |
Kobe, Japan | 2009 | |
Available on Infoscience
May 27, 2011
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