Authors
Ruoyu Lin, Soobum Kim, Magnus Egerstedt
Abstract
This paper presents an ecologically inspired multi-robot collaboration framework that is adaptive to both dynamic environments and diverse tasks. Its effectiveness is demonstrated through four experimental applications: forest firefighting, pursuit-evasion, environmental monitoring, and phoretic interactions. This framework allows for a wide range of applications, such as portraying dynamic geometric patterns in drone art shows, positioning environmental cleaning robots for pollutant removal, and deploying multi-robot teams for monitoring eroded beaches and coral reefs.
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