Swarmanoid: A novel concept for the study of heterogeneous robotic swarms

Marco Dorigo, Dario Floreano, Luca Maria Gambardella, Francesco Mondada, Stefano Nolfi, Tarek Baaboura, Mauro Birattari, Michael Bonani, Manuele Brambilla, Arne Brutschy, Daniel Burnier, Alexandre Campo, Anders Lyhne Christensen, Antal Decugniere, Gianni Di Caro, Frederick Ducatelle, Eliseo Ferrante, Alexander Förster, Javier Martinez Gonzales, Jerome GuzziValentin Longchamp, Stephane Magnenat, Nithin Mathews, Marco Montes De Oca, Rehan O'Grady, Carlo Pinciroli, Giovanni Pini, Philippe Rétornaz, James Roberts, Valerio Sperati, Timothy Stirling, Alessandro Stranieri, Thomas Stützle, Vito Trianni, Elio Tuci, Ali Emre Turgut, Florian Vaussard

Research output: Contribution to JournalArticleAcademicpeer-review


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.

Original languageEnglish
Article number2252996
Pages (from-to)60-71
Number of pages12
JournalIEEE Robotics and Automation Magazine
Issue number4
Publication statusPublished - 1 Dec 2013
Externally publishedYes


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