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The Application of Swarm Intelligence to Collective Robots

The Application of Swarm Intelligence to Collective Robots

Amanda J.C. Sharkey, Noel Sharkey
Copyright: © 2006 |Pages: 29
ISBN13: 9781591408277|ISBN10: 159140827X|ISBN13 Softcover: 9781591408284|EISBN13: 9781591408291
DOI: 10.4018/978-1-59140-827-7.ch006
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MLA

Sharkey, Amanda J.C., and Noel Sharkey. "The Application of Swarm Intelligence to Collective Robots." Advances in Applied Artificial Intelligence, edited by John Fulcher, IGI Global, 2006, pp. 157-185. https://doi.org/10.4018/978-1-59140-827-7.ch006

APA

Sharkey, A. J. & Sharkey, N. (2006). The Application of Swarm Intelligence to Collective Robots. In J. Fulcher (Ed.), Advances in Applied Artificial Intelligence (pp. 157-185). IGI Global. https://doi.org/10.4018/978-1-59140-827-7.ch006

Chicago

Sharkey, Amanda J.C., and Noel Sharkey. "The Application of Swarm Intelligence to Collective Robots." In Advances in Applied Artificial Intelligence, edited by John Fulcher, 157-185. Hershey, PA: IGI Global, 2006. https://doi.org/10.4018/978-1-59140-827-7.ch006

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Abstract

This chapter considers the application of swarm intelligence principles to collective robotics. Our aim is to identify the reasons for the growing interest in the intersection of these two areas, and to evaluate the progress that has been made to date. In the course of this chapter, we will discuss the implications of taking a swarm intelligent approach, and review recent research and applications. The area of “swarm robotics” offers considerable promise for practical application, although it is still in its infancy, and many of the tasks that have been achieved are better described as “proof-of-concept” examples, rather than full-blown applications. In the first part of the chapter, we will examine what taking a swarm intelligence approach to robotics implies, and outline its expected benefits. We shall then proceed to review recent swarm robotic applications, before concluding with a case study application of predator-prey robotics that illustrates some of the potential of the approach.

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