Daniel Jeswin Nallathambi

Distributed Data Storage and Fusion for Collective Perception in Resource-Limited Mobile Robot Swarms

In this letter, we propose an approach to the distributed storage and fusion of data for collective perception in resource-limited robot swarms. We demonstrate our approach in a distributed semantic classification scenario. We consider a team of mobile robots, in which each robot runs a pre-trained