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On different communication modalities between foraging robot swarms

Authors :
Dorigo, Marco
Trianni, Vito
Bersini, Hugues
Birattari, Mauro
Ferrante, Eliseo
Khaluf, Yara
Miletitch, Roman
Dorigo, Marco
Trianni, Vito
Bersini, Hugues
Birattari, Mauro
Ferrante, Eliseo
Khaluf, Yara
Miletitch, Roman
Publication Year :
2024

Abstract

Coordination in a group relies heavily on the type and quality of interactions and communication among individuals. In swarm robotics, communication can make the difference between a heap of isolated robots working independently of each other, and a connected swarm displaying self-organisation. Communication between robots in a swarm can be indirect, for instance through stigmergy whereby robots exploit the sign of previous actions to coordinate, or direct, by means of messages exchanged among robots for the purpose of influencing each other's behaviour. In the latter case, messages can consist either of simple signals, or more structured information, possibly encoding some concept representing features of the environment or of the desired coordination outcome. More complex communication can support more complex self-organising behaviors, deeply impacting on how the swarm tackles the task at hand. In this work, we consider different ways of exploiting communication in the context of a foraging task, in which robots search an open environment for resources to be exploited. Foraging requires abilities such as navigation, exploration and collective decision making. Coordination within a foraging context can lead to higher efficiency in exploiting resources, both in the short or in the long run, by avoiding over-exploitation. Throughout my thesis, foraging is used as a means to study the coupling between different communication processes and the undertaking of a meaningful task by the robots. Specifically, we study three different uses of communication during foraging. Firstly, we focus on simple aggregation of information, and study three parameter-free information processing mechanisms. These result in varying behavior, from the selection of a single resource by the whole swarm to the robots splitting among the resources present. This study is supported by an extensive analysis of navigation and congestion, helping to explain how swarm density can affect the perceived<br />Doctorat en Sciences de l'ingénieur et technologie<br />info:eu-repo/semantics/nonPublished

Details

Database :
OAIster
Notes :
3 full-text file(s): application/pdf | application/pdf | application/pdf, French
Publication Type :
Electronic Resource
Accession number :
edsoai.on1427402651
Document Type :
Electronic Resource