ROJun 3, 2019

Socially Inspired Communication in Swarm Robotics

arXiv:1906.01108v1
Originality Incremental advance
AI Analysis

This addresses communication efficiency in swarm robotics, but it is incremental as it builds on existing localized communication models.

The paper tackled the problem of outdated information in swarm robotics communication by proposing a goal-based model with an accept/reject scheme, and found that even low levels of this communication outperformed high levels of random information in object gathering experiments.

Localized communication in swarms has been shown to increase swarm effectiveness in some situations by allowing for additional opportunities for cooperation. However, communication and utilization of potentially outdated information is also a concern. We present an explicit non-directional goal-based communication model and message accept/reject scheme, and test our model in a set of object gathering experiments with a swarm of robots. The results of the experiments indicate that even low levels of communication regarding the swarm's goal outperform high levels of random information communication.

Code Implementations1 repo
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