Imperial College London

Professor Yiannis Demiris

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Human-Centred Robotics, Head of ISN



+44 (0)20 7594 6300y.demiris Website




1014Electrical EngineeringSouth Kensington Campus






BibTex format

author = {Dearden, A and Demiris, Y},
pages = {218--226},
publisher = {AISB},
title = {From exploration to imitation: using learnt internal models to imitate others},
url = {},
year = {2007}

RIS format (EndNote, RefMan)

AB - We present an architecture that enables asocial and social learning mechanisms to be combined in a unified framework on a robot. The robot learns two kinds of internal models by interacting with the environment with no a priori knowledge of its own motor system: internal object models are learnt about how its motor system and other objects appear in its sensor data; internal control models are learnt by babbling and represent how the robot controls objects. These asocially-learnt models of the robot’s motor system are used to understand the actions of a human demonstrator on objects that they can both interact with. Knowledge acquired through self-exploration is therefore used as a bootstrapping mechanism to understand others and benefit from their knowledge.
AU - Dearden,A
AU - Demiris,Y
EP - 226
PY - 2007///
SP - 218
TI - From exploration to imitation: using learnt internal models to imitate others
UR -
UR -
ER -