Dynamic interactive self organizing aggregation method in swarm robots      
Yazarlar (2)
Oğuz Mısır
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Doç. Dr. Levent GÖKREM Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale
Dergi Adı Biosystems
Dergi ISSN 0303-2647 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q3
Makale Dili İngilizce
Basım Tarihi 09-2021
Cilt No 207
Sayı 1
Sayfalar 1 / 16
DOI Numarası 10.1016/j.biosystems.2021.104451
Makale Linki http://dx.doi.org/10.1016/j.biosystems.2021.104451
Özet
The present study aims to propose a dynamic interactive self-organizing aggregation (DISA) method for swarm robots. The proposed method was determined by way of the movement of swarm robots, obstacle, and robot sensors. The controller used in the DISA method helps the state selector decide through the utilization of these sensors. Systematic simulations were conducted a different number of robots {10, 25, 50}, different detection radii {3, 4} and different arena sizes {40 × 40, 50 × 50, 60 × 60}. The performance of aggregation behavior was compared with other aggregation methods recommended in literature using Total Distance (TD) between robots, Cluster Metrics (CM), Expected Cluster Size (ECS) metric and aggregation completion time. Moreover, noise at different intensities was applied to sensor inputs of the robots. The robustness of the effect of increasing noise on aggregation behavior was examined comparatively. Consequently, the simulation results based on the other compared methods indicated that the utilization of the proposed DISA method led to a higher performance by 88% in the ECS and CM metric as well as in all TD metric measurements and aggregation completion time results.
Anahtar Kelimeler
Aggregation behavior | Multi robotics systems | Self-organized | Swarm robotics