Shape Formation in Homogeneous Swarms Using Local Task Swapping
Hanlin Wang, Michael Rubenstein
- Year
- 2020
- Citations
- 89
Abstract
The task of shape formation in robot swarms can often be reduced to two tasks - assigning goal locations to each robot and creating a collision-free path to that goal. In this article, we present a distributed algorithm that solves these tasks concurrently, enabling a swarm of robots to move and form a shape quickly and without collision. A user can specify a desired shape as an image, send that to a swarm of identically programmed robots, and the swarm will move all robots to goal locations within the desired shape. This algorithm was executed on a swarm of up to 1024 simulated robots and a swarm of 100 real robots, showing that it reliably converges to all robots forming the shape.
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