INFANT neural controller for adaptive sensory-motor coordination
Neural Networks
Navigating with a rat brain: a neurobiologically-inspired model for robot spatial representation
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
A neural model of the saccade generator in the reticular formation
Neural Networks - Special issue on neural control and robotics: biology and technology
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
ICAL 2003 Proceedings of the eighth international conference on Artificial life
A Binocular, Foveated Active Vision System
A Binocular, Foveated Active Vision System
Self-calibration of environmental camera for mobile robot navigation
Robotics and Autonomous Systems
Staged Competence Learning in Developmental Robotics
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Robotics and Autonomous Systems
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
Speeding-up the learning of saccade control
Living Machines'13 Proceedings of the Second international conference on Biomimetic and Biohybrid Systems
Learning robotic hand-eye coordination through a developmental constraint driven approach
International Journal of Automation and Computing
| Hi-index | 0.00 |
This paper presents a model of ocular-motor development, inspired by ideas and data from developmental psychology. The learning problem concerns the growth of the transform between image space and motor space necessary for the control of visual saccades. An implementation is used to produce experimental results and these are presented and discussed. The algorithm is simple, extremely fast, self-calibrating, adaptive to change, and exhibits emergent stages of behaviour as learning progresses.