Communication-constrained collective intelligence for indoor drone swarms

Abstract

We study how teams of small quadrotors can maintain collective task performance when communication links become sparse, lossy, or actively jammed. Our approach learns a compact, task-relevant message protocol jointly with the control policy, and we evaluate it in indoor swarm experiments on the Argus platform.

Paper