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» Evolved Controllers for Simulated Locomotion
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MIG
2009
Springer
13 years 11 months ago
Evolved Controllers for Simulated Locomotion
Abstract. We present a system for automatically evolving neural networks as physics-based locomotion controllers for humanoid characters. Our approach provides two key features: (a...
Brian F. Allen, Petros Faloutsos
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
13 years 9 months ago
Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
Krister Wolff, Peter Nordin
GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
13 years 9 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
ALIFE
2006
13 years 4 months ago
Evolving Physically Simulated Flying Creatures for Efficient Cruising
The body-brain coevolution of aerial life forms has not been developed as far as aquatic or terrestrial locomotion in the field of artificial life. We are studying physically simu...
Yoon-Sik Shim, Chang-Hun Kim
ROBIO
2006
IEEE
123views Robotics» more  ROBIO 2006»
13 years 10 months ago
Evolutionary Robotics, Anticipation and the Reality Gap
— Evolutionary Robotics provide efficient tools and approach to address automatic design of controllers for automous mobile robots. However, the computational cost of the optimi...
Cédric Hartland, Nicolas Bredeche