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Ant-like task allocation and recruitment in cooperative robots

Author

Listed:
  • Michael J. B. Krieger

    (Institute of Ecology, University of Lausanne, BB
    University of Georgia)

  • Jean-Bernard Billeter

    (Laboratoire de micro-informatique, Swiss Federal Institute of Technology)

  • Laurent Keller

    (Institute of Ecology, University of Lausanne, BB)

Abstract

One of the greatest challenges in robotics is to create machines that are able to interact with unpredictable environments in real time. A possible solution may be to use swarms of robots behaving in a self-organized manner, similar to workers in an ant colony1,2,3,4,5. Efficient mechanisms of division of labour, in particular series–parallel operation and transfer of information among group members6, are key components of the tremendous ecological success of ants7,8. Here we show that the general principles regulating division of labour in ant colonies indeed allow the design of flexible, robust and effective robotic systems. Groups of robots using ant-inspired algorithms of decentralized control techniques foraged more efficiently and maintained higher levels of group energy than single robots. But the benefits of group living decreased in larger groups, most probably because of interference during foraging. Intriguingly, a similar relationship between group size and efficiency has been documented in social insects9,10,11. Moreover, when food items were clustered, groups where robots could recruit other robots in an ant-like manner were more efficient than groups without information transfer, suggesting that group dynamics of swarms of robots may follow rules similar to those governing social insects.

Suggested Citation

  • Michael J. B. Krieger & Jean-Bernard Billeter & Laurent Keller, 2000. "Ant-like task allocation and recruitment in cooperative robots," Nature, Nature, vol. 406(6799), pages 992-995, August.
    • Handle: RePEc:nat:nature:v:406:y:2000:i:6799:d:10.1038_35023164
    DOI: 10.1038/35023164
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    Cited by:

    1. Gul Rukh Khan & Carlo Novara & Khalid Haseeb & Atif Ishtiaq, 2019. "A novel algorithm for integrated control model using swarm robots for intruder detection and rescue schedules," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(2), pages 273-284, October.
    2. René Schubotz & Torsten Spieldenner & Melvin Chelli, 2022. "stigLD : Stigmergic Coordination in Linked Systems," Mathematics, MDPI, vol. 10(7), pages 1-21, March.

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