Abstract
AbstractWe present a biologically inspired design for swarm foraging based on ant’s pheromone deployment, where the swarm is assumed to have very restricted capabilities. The robots do not require global or relative position measurements and the swarm is fully decentralized and needs no infrastructure in place. Additionally, the system only requires one-hop communication over the robot network, we do not make any assumptions about the connectivity of the communication graph and the transmission of information and computation is scalable versus the number of agents. This is done by letting the agents in the swarm act as foragers or as guiding agents (beacons). We present experimental results computed for a swarm of Elisa-3 robots on a simulator, and show how the swarm self-organizes to solve a foraging problem over an unknown environment, converging to trajectories around the shortest path, and test the approach on a real swarm of Elisa-3 robots. At last, we discuss the limitations of such a system and propose how the foraging efficiency can be increased.
Publisher
Springer Science and Business Media LLC
Reference38 articles.
1. Alers, S., Tuyls, K., Ranjbar-Sahraei, B., et al. (2014). Insect-inspired robot coordination: foraging and coverage. Artificial life, 14, 761–768.
2. Balch, T. (2000). Hierarchic social entropy: An information theoretic measure of robot group diversity. Autonomous robots, 8(3), 209–238.
3. Beni, G., Wang, J. (1993). Swarm intelligence in cellular robotic systems. In Robots and biological systems: Towards a new bionics? Springer, pp. 703–712
4. Blum, C., Merkle, D. (2008). Swarm intelligence. In Blum, C., Merkle, D. (Eds.) Swarm Intelligence in Optimization, pp 43–85
5. Campo, A., Gutiérrez, Á., Nouyan, S., et al. (2010). Artificial pheromone for path selection by a foraging swarm of robots. Biological cybernetics, 103(5), 339–352.
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