A Novel Framework for Multi-Agent Systems Using a Decentralized Strategy

GÜZEL M. S., Ajabshir V. B., Nattharith P., Gezer E. C., Can S.

ROBOTICA, cilt.37, sa.4, ss.691-707, 2019 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37 Sayı: 4
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1017/s0263574718001261
  • Dergi Adı: ROBOTICA
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.691-707
  • Anahtar Kelimeler: Multi-agent systems, Decentralized architecture, Vision for navigation, Swarm intelligence, Pattern formation, NAVIGATION CONTROL, SWARM
  • Ankara Üniversitesi Adresli: Evet

Özet

This work addresses a new framework that proposes a decentralized strategy for collective and collaborative behaviours of multi-agent systems. This framework includes a new clustering behaviour that causes agents in the swarm to agree on attending a group and allocating a leader for each group, in a decentralized and local manner. The leader of each group employs a vision-based goal detection algorithm to find and acquire the goal in a cluttered environment. As soon as the leader starts moving, each member is enabled to move in the same direction by staying coordinated with the leader and maintaining the desired formation pattern. In addition, an exploration algorithm is designed and integrated into the framework so as to allow each group to be able to explore goals in a collaborative and efficient manner. A series of comprehensive experiments are conducted in order to verify the overall performance of the proposed framework.