Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms

Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms

Swarm robotics systems are characterized by decentralized control, limited communication between robots, use of local information, and emergence of global behavior. Such systems have shown their potential for flexibility and robustness [1]-[3]. However, existing swarm robotics systems are by and lar...

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Bibliographic Details
Published in:IEEE robotics & automation magazine Vol. 20; no. 4; pp. 60 - 71
Main Authors: Dorigo, Marco, Floreano, Dario, Gambardella, Luca Maria, Mondada, Francesco, Nolfi, Stefano, Baaboura, Tarek, Birattari, Mauro, Bonani, Michael, Brambilla, Manuele, Brutschy, Arne, Burnier, Daniel, Campo, Alexandre, Christensen, Anders Lyhne, Decugniere, Antal, Di Caro, Gianni, Ducatelle, Frederick, Ferrante, Eliseo, Forster, Alexander, Martinez Gonzales, Javier, Guzzi, Jerome, Longchamp, Valentin, Magnenat, Stephane, Mathews, Nithin, Montes de Oca, Marco, O'Grady, Rehan, Pinciroli, Carlo, Pini, Giovanni, Retornaz, Philippe, Roberts, James, Sperati, Valerio, Stirling, Timothy, Stranieri, Alessandro, Stutzle, Thomas, Trianni, Vito, Tuci, Elio, Turgut, Ali Emre, Vaussard, Florian
Format: Journal Article
Language:English
Published: IEEE 01-12-2013
Subjects:
Control systems
Process control
Robot kinematics
Robot sensing systems
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Summary:Swarm robotics systems are characterized by decentralized control, limited communication between robots, use of local information, and emergence of global behavior. Such systems have shown their potential for flexibility and robustness [1]-[3]. However, existing swarm robotics systems are by and large still limited to displaying simple proof-of-concept behaviors under laboratory conditions. It is our contention that one of the factors holding back swarm robotics research is the almost universal insistence on homogeneous system components. We believe that swarm robotics designers must embrace heterogeneity if they ever want swarm robotics systems to approach the complexity required of real-world systems.
ISSN:1070-9932
1558-223X
DOI:10.1109/MRA.2013.2252996