An experimental comparison of imitation paradigms used in social robotics.pdf
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An Experimental Comparison of Imitation Paradigms
used in Social Robotics
Joe Saunders, Chrystopher L. Nehaniv, Kerstin Dautenhahn
Adaptive Systems Research Group, School of Computer Science, University of Hertfordshire
College Lane, Hatfield Herts AL10 9AB, United Kingdom
{J.2.Saunders, C.L.Nehaniv, K.Dautenhahn}@herts.ac.uk
Abstract
We study and contrast particular issues arising in
two social learning paradigms that are widely used in
robotics research: (i) following or matched-dependent
behaviour and (ii) static observational learning. Ex-
periments are carried out with physical Khepera robots
whose controllers include motor schemas and new neu-
ral network based methods for model agent-centred per-
ception of angle and distance. The robots are trained
to perceive the dynamic movement of a human or robot
demonstrator carrying a light source. The robots learn
the behaviour either through perception from a static
location or while following. The differences and impli-
cations of the results of both the following and obser-
vation mechanisms are compared and contrasted.
1 Social Learning Paradigms
Psychologists consider imitation1 to be one of the
key elements in social learning, with social learning
leading to the acceleration of the acquisition of intel-
ligent behaviour [24, 8, 7]. If robots could imitate ei-
ther each other or humans, both singly and in groups,
then robot task acquisition would be easier and faster
with the possibility of increased behavioural complex-
ity and ultimately some form of cultural transmis-
sion [1]. In fact we consider this social dimension to be
the key to making robots behave more intelligently [6],
an approach inspired from studies of social animals
(e.g. apes) and the ‘social intelligence hypothesis’ [5],
which proposes social origins for primate intelligence.
In our research program we investigate social learn-
ing and interaction between both human/robot and
robot/robot pairs to understand the social dimension
of imitative be
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