Individual adaptation allows collective path-finding in a robotic swarm

Thomas Schmickl, Christoph Möslinger, Ronald Thenius, Karl Crailsheim
International Journal of Factory Automation, Robotics and Soft Computing 4 (2007), 102-108

Abstract:

The coordination of an autonomous robotic swarm requires a control algorithm that is simple, scalable, robust and flexible. Biological systems show many kinds of behaviours, which enable organisms to act efficiently in a dynamic environment. By mimicking the trophallactic behaviour of honeybees (mouth-to-mouth feeding), we developed a communication scheme and a navigation algorithm for mobile robots. This allows a swarm of robots to perform collective decision-making based on individual robot navigation. In this article we present a novel feature of this algorithm: It allows a robotic swarm to react to the shape and to the orientation of areas of unsuitable terrain. We demonstrate that a robotic swarm using this new algorithm is able to make near-optimal route choices, i.e. whether to cross or to avoid an area with unsuitable terrain.

Arena setup and visualization of resulting gradient


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