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Developmental robotics – a new paradigm Export

In Lund University Cognitive Studies, Vol. 94 (2002), pp. 163-174.

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alife developmental neural-networks nn

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It has been proved to be extremely challenging for humans to program a robot to such a sufficient degree that it acts properly in a typical unknown human environment. This is especially true for a humanoid robot due to the very large number of redundant degrees of freedom and a large number of sensors that are required for a humanoid to work safely and effectively in the human environment. How can we address this fundamental problem? Motivated by human mental development from infancy to adulthood, we present a theory, an architecture, and some experimental results showing how to enable a robot to develop its mind automatically, through online, real time interactions with its environment. Humans mentally “raise ” the robot through “robot sitting ” and “robot schools” instead of task-specific robot programming. 1.


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