DocumentCode
3174312
Title
The ION architecture for robot learning
Author
Qualtrough, Paul
Author_Institution
Dept. of Comput. Sci., Auckland Univ., New Zealand
Volume
5
fYear
1995
fDate
22-25 Oct 1995
Firstpage
4319
Abstract
It is claimed that one of the main reasons why the development of intelligent robots has been slower than expected is that machine learning has been seen as an “add on” feature-one to be placed in the higher and later-developed levels of robot architectures. A case is made for incorporating machine learning at the earliest possible stage, and relying on it as the primary method of developing robot controllers. An architecture is proposed to support this approach
Keywords
intelligent control; knowledge based systems; learning systems; robots; control agents; control system architecture; intelligent robots; knowledge based systems; machine learning; robot learning; Artificial intelligence; Biological system modeling; Context modeling; Intelligent robots; Machine learning; Mobile robots; Robot control; Robot sensing systems; Service robots; Time sharing computer systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-2559-1
Type
conf
DOI
10.1109/ICSMC.1995.538471
Filename
538471
Link To Document