In this section
@inproceedings{Dearden:2007,
author = {Dearden, A and Demiris, Y},
pages = {218--226},
publisher = {AISB},
title = {From exploration to imitation: using learnt internal models to imitate others},
url = {http://www.aisb.org.uk/publications/proceedings/aisb2007/aisb07-body.pdf},
year = {2007}
}
TY - CPAPER
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
PB - AISB
PY - 2007///
SP - 218
TI - From exploration to imitation: using learnt internal models to imitate others
UR - http://www.aisb.org.uk/publications/proceedings/aisb2007/aisb07-body.pdf
UR - http://hdl.handle.net/10044/1/12722
ER -
