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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Enactive robot vision
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Constraints on Body Movement during Visual Development Affect Behavior of Evolutionary Robots
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2004
Measures of Diversity for Populations and Distances Between Individuals with Highly Reorganizable Genomes
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2003
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2003. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’2003). p. 2968 – 2973. DOI : 10.1109/IROS.2003.1249322.Hardware spiking neural network with run-time reconfigurable connectivity in an autonomous robot
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2002. Workshop on Self-Organisation and Evolution of Social Behaviour, Monte Verità, Ascona, Switzerland, September 8-13. p. 11 – 22.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.Evolving Vision-based Flying Robots
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Evolution of Spiking Neural Controllers for Autonomous Vision-based Robots
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Theory in Biosciences. 2001. Vol. 120, num. 3-4, p. 225 – 240. DOI : 10.1078/1431-7613-00042.An Evolutionary Active-Vision System
2001. The 2001 Congress on Evolutionary Computation, Seoul, South Korea, 05/27/2001 – 05/30/2001. p. 107 – .Evolution of Plastic Control Networks
Autonomous Robots. 2001. Vol. 11, num. 3, p. 311 – 317. DOI : 10.1023/A:1012459627968.Co-Evolution and Ontogenetic Change in Competing Robots
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