In this section
@article{Johnson:2005:10.5772/5775,
author = {Johnson, M and Demiris, Y},
doi = {10.5772/5775},
journal = {International Journal of Advanced Robotic Systems},
pages = {301--308},
title = {Perceptual Perspective Taking and Action Recognition},
url = {http://dx.doi.org/10.5772/5775},
volume = {2},
year = {2005}
}
TY - JOUR
AB - Robots that operate in social environments need to be able to recognise and understand the actions of other robots, and humans, in order to facilitate learning through imitation and collaboration. The success of the simulation theory approach to action recognition and imitation relies on the ability to take the perspective of other people, so as to generate simulated actions from their point of view. In this paper, simulation of visual perception is used to recreate the visual egocentric sensory space and egocentric behaviour space of an observed agent, and through this increase the accuracy of action recognition. To demonstrate the approach, experiments are performed with a robot attributing perceptions to and recognising the actions of a second robot.
AU - Johnson,M
AU - Demiris,Y
DO - 10.5772/5775
EP - 308
PY - 2005///
SN - 1729-8806
SP - 301
TI - Perceptual Perspective Taking and Action Recognition
T2 - International Journal of Advanced Robotic Systems
UR - http://dx.doi.org/10.5772/5775
UR - http://hdl.handle.net/10044/1/12613
VL - 2
ER -
