Effects of Social Exploration Mechanisms on Robot Learning
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Abstract
Social learning in robotics has largely focused
on imitation learning. Here we take a broader view and
are interested in the multifaceted ways that a social partner
can influence the learning process. We implement four social
learning mechanisms on a robot: stimulus enhancement, emulation,
mimicking, and imitation, and illustrate the computational
benefits of each. In particular, we illustrate that some strategies
are about directing the attention of the learner to objects and
others are about actions. Taken together these strategies form
a rich repertoire allowing social learners to use a social partner
to greatly impact their learning process. We demonstrate these
results in simulation and with physical robot ‘playmates’.
Sponsor
This work is supported by the National Science Foundation, award
number IIS-0812106.
Date
2009
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