Evolutionary robotics takes inspiration from natural evolution to automatically design robot bodies and brains (neural networks) and to understand evolution of living systems. From an artificial intelligence perspective, we are interested in open-ended evolution, evolution of multi-cellular soft robots, and evolution of swarming systems. From a biological perspective, we are interested in understanding the evolutionary emergence and principles of cooperation, competition, division of labour, and communication.
We are also interested in promoting the understanding and study of evolution by means of software and hardware educational tools. We developed RoboGen™, an open-source software for the co-evolution of neural controllers and body shapes in physics-based simulations where evolved body parts can be 3D-printed and assembled with low-cost, off-the-shelf electronic components.
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Evolutionary Robotics
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Historical contingency affects signaling strategies and competitive abilities in evolving populations of simulated robots
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Lausanne, EPFL, 2009.2008
Enactive Robot Vision
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Lausanne, EPFL, 2007.Pheromone-based Swarming for Position-less MAVs
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2007.Evolutionary Conditions for the Emergence of Communication in Robots
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Division of labour and colony efficiency in social insects: effects of interactions between genetic architecture, colony kin structure and rate of perturbations
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Co-evolution of Structures and Controllers for Neubot Underwater Modular Robots
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2003. 5th International Conference on Evolvable Systems (ICES’2003), Trondheim, Norway, 17-20 March. p. 153 – 164. DOI : 10.1007/3-540-36553-2_14.Vision-based Navigation from Wheels to Wings
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2003. International Conference on Intelligent Robots and Systems (IROS’2003). p. 1626 – 1631. DOI : 10.1109/IROS.2003.1248877.POEtic Tissue: An Integrated Architecture for Bio-inspired Hardware
2003. 5th International Conference, ICES 2003, Trondheim, Norway, March 17–20, 2003. p. 129 – 140. DOI : 10.1007/3-540-36553-2_12.Complex Visual Behavior with Simple Brains: Co-evolutionary Active Vision and Feature Selection
2003. European Cognitive Science Conference, Osnabrück, Germany, 10-13 September. DOI : 10.4324/9781315782362-9.2002
SWARM-BOT: Pattern Formation in a Swarm of Self-Assembling Mobile Robots
2002. IEEE International Conference on Systems, Man and Cybernetics, Hammamet, Tunisia, October 6-9. p. 145 – 150. DOI : 10.1109/ICSMC.2002.1173259.Ago Ergo Sum
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2002. 2nd International Workshop on Biologically Motivated Computer Vision (BMCV’2002), Tübingen, November 22 – 24, 2002. p. 592 – 600. DOI : 10.1007/3-540-36181-2_59.Manuale sulle Reti Neurali
Bologna: Il Mulino, 2002.SWARM Robotics: A Different Approach to Service Robotics
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2002. Workshop on Self-Organisation and Evolution of Social Behaviour, Monte Verità, Ascona, Switzerland, September 8-13. p. 11 – 22.Levels of Dynamics and Adaptive Behavior in Evolutionary Neural Controllers
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Proceedings of the 2002 Interdisciplinary College; Bremen: Arendtap Publishing, 2002. p. 314 – 333.Neural Synthesis of Artificial Organisms through Evolution
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Transitive choices by a simple, fully connected, backpropagation neural network: implications for the comparative study of transitive inference
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Advances in the Evolutionary Synthesis of Intelligent Agents; Cambridge (MA): MIT Press, 2001.Evolution of Spiking Neural Controllers for Autonomous Vision-based Robots
Evolutionary Robotics. From Intelligent Robotics to Artificial Life; Berlin: Springer-Verlag, 2001. p. 38 – 61.Evolutionary Robotics. The Biology, Intelligence, and Technology of Self-organizing Machines
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