DocumentCode :
3630427
Title :
Learning primitive actions through object exploration
Author :
Damir Omreen;Ales Ude;Andrej Kos
Author_Institution :
Jozef Stefan Institute, Slovenia
fYear :
2008
Firstpage :
306
Lastpage :
311
Abstract :
The goal of this paper is to investigate how to acquire useful action knowledge by observing the results of exploratory actions on objects. We focus on poking as a representative type of nonprehensile manipulation. Poking can be defined as a short term pushing action. Here we propose an explorative process that allows the robot to learn the relationship between the point of contact on the object boundary and the angle of poke and the actual response of an object. The robot acquires this knowledge without having any prior knowledge about the action. Initially, the robot was only able to move in random directions. Such self emergent processes are essential for the early cognition. The proposed process has been implemented and tested on the humanoid robot Hoap-3.
Keywords :
"Cognitive robotics","Artificial intelligence","Intelligent robots","Humanoid robots","Cognition","Humans","Friction","Testing","Solids","Uncertainty"
Publisher :
ieee
Conference_Titel :
Humanoid Robots, 2008. Humanoids 2008. 8th IEEE-RAS International Conference on
ISSN :
2164-0572
Print_ISBN :
978-1-4244-2821-2
Electronic_ISBN :
2164-0580
Type :
conf
DOI :
10.1109/ICHR.2008.4755978
Filename :
4755978
Link To Document :
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