Made-up minds: a constructivist approach to artificial intelligence
Made-up minds: a constructivist approach to artificial intelligence
Scaling up sensorimotor systems: constraints from human infancy
Adaptive Behavior
Learning to learn
Reaching movements: implications of connectionist models
The handbook of brain theory and neural networks
Being There: Putting Brain, Body, and World Together Again
Being There: Putting Brain, Body, and World Together Again
Editorial: Mobile robotics in the UK and worldwide: Fast changing, and as exciting as ever
Robotics and Autonomous Systems
A review of long-term memory in natural and synthetic systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Learning robotic hand-eye coordination through a developmental constraint driven approach
International Journal of Automation and Computing
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Developmental robotics is concerned with the design of algorithms that promote robot adaptation and learning through qualitative growth of behaviour and increasing levels of competence. This paper uses ideas and inspiration from early infant psychology (up to three months of age) to examine how robot systems could discover the structure of their local sensory-motor spaces and learn how to coordinate these for the control of action. An experimental learning model is described and results from robotic experiments using the model are presented and discussed.