Multi-Functional Sensing for Swarm Robots Using Time Sequence Classification: HoverBot, an Example.

ABSTRACT: Scaling up robot swarms to collectives of hundreds or even thousands without sacrificing sensing, processing, and locomotion capabilities is a challenging problem. Low-cost robots are potentially scalable, but the majority of existing systems have limited capabilities, and these limitations substantially constrain the type of experiments that could be performed by robotics researchers. Instead of adding functionality by adding more components and therefore increasing the cost, we demonstrate how low-cost hardware can be used beyond its standard functionality. We systematically review 15 swarm robotic systems and analyse their sensing capabilities by applying a general sensor model from the sensing and measurement community. This work is based on the HoverBot system. A HoverBot is a levitat

SUBMITTER: Nemitz MP 

PROVIDER: S-EPMC7806055 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature