Multi-agent systems
AI
Project: Designing Robot Swarms
Date: Mar 2013
While foraging is a task often experimented with in swarm robotics, it is often the case that foraging strategies inspired by nature are chosen without careful consideration.

This paper reviews how food acquisition is solved by various biological species including ants, termites, bees, hyenas, wolves, lions, dolphins, whales and humans. Foraging strategies including solitary foraging, behavioural matching, stigmergy, signaling to guide others and coordinated and cooperative hunting are identified and their implementation costs in robots, as well as their suitability for different scenarios is discussed.
It is proposed that careful consideration of a foraging task can both increase a robotic swarm's efficiency and make its implementation costs more reasonable.
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