Associative memory in a network of biological neurons
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Seeing the light: artificial evolution, real vision
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Insect Inspired Visual Control of Translatory Flight
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
ER '01 Proceedings of the International Symposium on Evolutionary Robotics From Intelligent Robotics to Artificial Life
A Neural Model of the Fly Visual System Applied to Navigational Tasks
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Cheap Vision-Exploiting Ecological Niche and Morphology
SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics
From Wheels to Wings with Evolutionary Spiking Circuits
Artificial Life
A morphological proposal for vision-based path planning
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Fitness functions in evolutionary robotics: A survey and analysis
Robotics and Autonomous Systems
Evolving neural networks for the control of a lenticular blimp
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Genetic representation and evolvability of modular neural controllers
IEEE Computational Intelligence Magazine
Elaborated motion detector based on Hassenstein-Reichardt correlator model
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume I
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We describe a new experimental approach whereby an indoor flying robot evolves the ability to navigate in a textured room using only visual information and neuromorphic control. The architecture of a spiking neural circuit, which is connected to the vision system and to the motors, is genetically encoded and evolved on the physical robot without human intervention. The flying robot consists of a small wireless airship equipped with a linear camera and a set of sensors used to measure its performance. Evolved spiking circuits can manage to fly the robot around the room by exploiting a combination of visual features, robot morphology, and interaction dynamics.