Intelligence without representation
Artificial Intelligence
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Evolutionary robotics and the radical envelope-of-noise hypothesis
Adaptive Behavior
Co-Evolution in the Successful Learning of Backgammon Strategy
Machine Learning
Framsticks: Towards a Simulation of a Nature-Like World, Creatures and Evolution
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Hardware Solutions for Evolutionary Robotics
Proceedings of the First European Workshop on Evolutionary Robotics
Cooperative Behavior Acquisition in a Multiple Mobile Robot Environment by Co-evolution
RoboCup-98: Robot Soccer World Cup II
Moving furniture with teams of autonomous robots
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 1 - Volume 1
Evolutionary Body Building: Adaptive Physical Designs for Robots
Artificial Life
A mobius automation: an application of artificial intelligence techniques
IJCAI'69 Proceedings of the 1st international joint conference on Artificial intelligence
Evolution of homing navigation in a real mobile robot
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Crossing the reality gap in evolutionary robotics by promoting transferable controllers
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Not all physics simulators can be wrong in the same way
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Interactive Character Animation Using Simulated Physics: A State-of-the-Art Review
Computer Graphics Forum
Hi-index | 0.00 |
Evolutionary and coevolutionary techniques have become a popular area of research for those interested in automated design. One of the cutting edge issues in this field is the ability to apply these techniques to real physical systems with all the complexities and affordances that such systems present. Here we present a selection of our work each of which advances the richness of the evolutionary substrate in one or more dimensions. We overview research in four areas: a) High part-count static structures that are buildable, b) The use of commercial CAD/CAM systems as a simulated substrate, c) Dynamic electromechanical systems with complex morphology that can be built automatically, and d) Evolutionary techniques distributed in a physical population of robots.