A Developmental Framework for Cumulative Learning Robots

Developmental psychology is the study of human cognitive growth. However there exists a huge gap between the psychologist’s theories and knowledge of behaviour and our ability to implement developmental processes in autonomous agents. In this chapter we describe an approach towards developmental gro...

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Bibliographic Details
Published inComputational and Robotic Models of the Hierarchical Organization of Behavior pp. 177 - 212
Main Authors Hülse, Martin, Lee, Mark, Law, James
Format Reference Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2013
Subjects
Field Size
Humanoid Robot
Intrinsic Motivation
Proprioceptive Sensor
Robotics industry
Stimulus Point
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ISBN364239874X
9783642398742
DOI10.1007/978-3-642-39875-9_9

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Summary:Developmental psychology is the study of human cognitive growth. However there exists a huge gap between the psychologist’s theories and knowledge of behaviour and our ability to implement developmental processes in autonomous agents. In this chapter we describe an approach towards developmental growth for robotics that utilises natural constraints in a general learning mechanism. The method, summarised as Lift-Constraint, Act, Saturate (LCAS), is described and illustrated with results from experiments. We discuss how this approach is grounded in the topics of sensory-motor abstraction, intrinsic motivation (as novelty), and staged learning, and our belief that robotics can learn much from infant psychology.
ISBN:364239874X
9783642398742
DOI:10.1007/978-3-642-39875-9_9