Item Infomation


Title: A field-based computing approach to sensing-driven clustering in robot swarms
Authors: Gianluca, Aguzzi
Giorgio, Audrito
Roberto, Casadei
Issue Date: 2023
Publisher: Springer
Abstract: Swarm intelligence leverages collective behaviours emerging from interaction and activity of several “simple” agents to solve problems in various environments. One problem of interest in large swarms featuring a variety of sub-goals is swarm clustering, where the individuals of a swarm are assigned or choose to belong to zero or more groups, also called clusters. In this work, we address the sensing-based swarm clustering problem, where clusters are defined based on both the values sensed from the environment and the spatial distribution of the values and the agents.
Description: CC BY
URI: https://link.springer.com/article/10.1007/s11721-022-00215-y
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8242
Appears in CollectionsOER - Công nghệ thông tin
ABSTRACTS VIEWS

65

FULLTEXT VIEWS

18

Files in This Item: