Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Genetic programming and emergent intelligence
Advances in genetic programming
Automated learning of muscle-actuated locomotion through control abstraction
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Biologically Inspired Robots: Serpentile Locomotors and Manipulators
Biologically Inspired Robots: Serpentile Locomotors and Manipulators
Automatic Creation of Human-Competitive Programs and Controllers by Means of Genetic Programming
Genetic Programming and Evolvable Machines
Limbless locomotion: learning to crawl with a snake robot
Limbless locomotion: learning to crawl with a snake robot
Evolving motion of robots with muscles
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
IEEE Transactions on Robotics
Incremental genetic programming via genetic transposition
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
The effect of bloat on the efficiency of incremental evolution of simulated snake-like robot
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Co-evolutionary approach to design of robotic gait
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
GP-induced and explicit bloating of the seeds in incremental GP improves evolutionary success
Genetic Programming and Evolvable Machines
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We propose an approach of automated co-evolution of the optimal values of attributes of active sensing (orientation, range and timing of activation of sensors) and the control of locomotion gaits of simulated snake-like robot (Snakebot) that result in a fast speed of locomotion in a confined environment. The experimental results illustrate the emergence of a contactless wall-following navigation of fast sidewinding Snakebots. The wall-following is accomplished by means of differential steering, facilitated by the evolutionary defined control sequences incorporating the readings of evolutionary optimized sensors.