title: Developmental Robots - A New Paradigm
creator: Weng, Juyang
creator: Zhang, Yilu
subject: Machine Learning
subject: Artificial Intelligence
subject: Robotics
description: 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.
publisher: Lund University Cognitive Studies
contributor: Prince, Christopher G.
contributor: Demiris, Yiannis
contributor: Marom, Yuval
contributor: Kozima, Hideki
contributor: Balkenius, Christian
date: 2002
type: Conference Paper
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/2530/1/Weng.pdf
identifier:   Weng, Juyang and Zhang, Yilu  (2002) Developmental Robots - A New Paradigm.  [Conference Paper]     
relation: http://cogprints.org/2530/