A Control Strategy for Terrain Adaptive Bipedal Locomotion
Autonomous Robots
Certain Principles of Biomorphic Robots
Autonomous Robots
Self-organization of locomotory controllers in robots and animals
Self-organization of locomotory controllers in robots and animals
Frequency space representation and transitions of quadruped robot gaits
ACSC '04 Proceedings of the 27th Australasian conference on Computer science - Volume 26
Locomotion Control of a Biped Robot Using Nonlinear Oscillators
Autonomous Robots
Adaptive behavior in turning of an oscillator-driven biped robot
Autonomous Robots
Dealing with internal and external perturbations on walking robots
Autonomous Robots
Efference copies in neural control of dynamic biped walking
Robotics and Autonomous Systems
The Study on Optimal Gait for Five-Legged Robot with Reinforcement Learning
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Robotics and Autonomous Systems
Multistable phase regulation for robust steady and transitional legged gaits
International Journal of Robotics Research
Confronting the challenge of learning a flexible neural controller for a diversity of morphologies
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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A newborn foal can learn to walk soon after birth through a process of rapid adaptation acting on its locomotor controller. It is proposed here that this kind of adaptation can be modeled as a distributed system of adaptive modules (AMs) acting on a distributed system of adaptive oscillators called Adaptive Ring Rules (ARRs), augmented with appropriate and simple reflexes. It is shown that such a system can self-program through interaction with the environment. The adaptation emerges spontaneously as several discrete stages: Body twisting, short quick steps, and finally longer, coordinated stepping.This approach is demonstrated on a quadrupedal robot. The result is that the system can learn to walk several minutes after inception.