Bee-inspired foraging in an embodied swarm

We show the emergence of Swarm Intelligence in physical robots. We transfer an optimization algorithm which is based on beeforaging behavior to a robotic swarm. In simulation this algorithm has already been shown to be more effective, scalable and adaptive than algorithms inspired by ant foraging. In addition to this advantage, bee-inspired foraging does not require (de-)centralized simulation of environmental parameters (e.g. pheromones). Categories and Subject Descriptors I.2.11 [Distributed Artificial Intelligence]: Multiagent systems General Terms Algorithms, Experimentation Keywords Swarm Intelligence, Foraging, Swarm Robotics Online material http://swarmlab.unimaas.nl/papers/aamas2011demo/

• Type: Journal
• Year: 2011
• Where: ATAL
• Authors: Sjriek Alers, Daan Bloembergen, Daniel Hennes, Steven de Jong, Michael Kaisers, Nyree Lemmens, Karl Tuyls, Gerhard Weiss
• Keywords: ATAL 2011, Intelligent Agents, Robotic Swarm, Swarm Intelligence, Swarm Robotics