ARTUISIS

Augmented Reality and Tangible User Interface to Supervise and Interact with robot Swarms

Lab-STICC
UBO
ENIB
IMT Atlantique

Swarm fregmentation experiment

In the context of robot swarms, fragmentation refers to a breakdown in communication and coordination among the robots. This fragmentation can lead to issues in the swarm self-organisation, especially the loss of efficiency or an inability to perform their tasks. Human operators influencing the swarm could prevent fragmentation. To help them in this task, it is necessary to study the ability of humans to perceive and anticipate fragmentation. This article studies the perception of different types of fragmentation occurring in swarms depending on their behaviour selected amongst swarming, flocking, expansion and densification. Thus, we characterise human perception thanks to two metrics based on the distance separating fragmented groups and the separation speed. The experimentation protocol consists of a binary discrimination task in which participants had to assess the presence of fragmentation. The results show that detecting fragmentation for expansion behaviour and anticipating fragmentation, in general, is challenging. Moreover, they show that humans rely on separation distance and speed to infer the presence or absence of fragmentation. Our study paves the way for new research that will provide information to humans to better anticipate and efficiently prevent the occurrence of swarm fragmentation.

Contacts

Contact the project coordinator: Jérémy Rivière
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2021 - J.Rivière
Assistant Professor at UBO
Département Informatique / Lab-STICC
UFR Sciences et Techniques
20 Avenue Victor Le Gorgeu - 29238 Brest CEDEX 3