Work

Specialization as an optimal strategy under varying external conditions

Year: 2009

Type: conference-paper

Abstract: 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.

Source: Proceedings - IEEE International Conference on Robotics and Automation/Proceedings

DOI: 10.1109/robot.2009.5152798

Authors: M.A. Hsieh, A. Halasz, E.D. Cubuk, S. Schoenholz, A. Martinoli

Institutions: Drexel University, West Virginia University, Swarthmore College, École Polytechnique Fédérale de Lausanne

Language: English

Topic: Modular Robots and Swarm Intelligence

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2120923523

FWCI: 8.615

Cites: 20

Cited by: 19

Related to: 10