However, replicating this self-organising behavior in artificial swarms has been a major challenge for researchers
Robots seen forming an artificial swarm. PIC COURTESY/Luco Buise
A new framework of geometric design rules has been developed to push forward swarm intelligence, the branch of AI that mimics the group behaviours of birds, fish, and bees.
The coordinated movement of robots could improve search-and-rescue operations and wildfire detection. Fish school as a way to avoid predators. Bees use swarming as their method of reproduction. However, replicating this self-organising behaviour in artificial swarms has been a major challenge for researchers.
The study focuses on a central challenge for robotic swarms: establishing a decentralised control mechanism to function without even a single guiding authority. The researchers developed a new quantity called ‘curvity’, which causes a robot to curve in response to an external force and interact with its fellow robots.
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