Cooperation in a swarm of robots using RFID landmarks

Giulio Zecca (1) , Paul Couderc (1) , Michel Banâtre (1) , Roberto Beraldi (2)

1 ACES - Ambient computing and embedded systems
2 MIDLAB - Middleware Laboratory

In a world that is giving prominence to ubiquitous computing, a classical standalone robot, though as complex, specialised and efficient as it may be, is not suitable for a distributed environment. The aim is to have knowledge and computing power diffused in the environment, exploiting the collaboration of simple, flexible and cost-effective robots. Collective intelligence increases when each one communicates basic information about its local state, to update the global knowledge. An open research problem is the cooperation among multiple entities in a distributed environment. Our proposal is to have robots with low capabilities that can learn information and instructions from on-site RFID landmarks to place themselves in formation, synchronise with other robots in the area, and finally carry out a cooperative task.

Mots clés: multi-robot systems; radiofrequency identification; ubiquitous computing; Pervasive computing; Distributed; Multi-Robot; Synchronization; RFID landmarks; collective intelligence

Domaines: Informatique ubiquitaire

Giulio Zecca, Paul Couderc, Michel Banâtre, Roberto Beraldi. Cooperation in a swarm of robots using RFID landmarks. Robotic and Sensors Environments, 2008. ROSE 2008. International Workshop, University of Ottawa, Oct 2008, Ottawa, Ontario, Canada. ⟨10.1109/ROSE.2008.4669171⟩. ⟨hal-00977207⟩