DocumentCode
306898
Title
Assigning symbolic goals to autonomous robots
Author
Namkiu, Chan ; Anzai, Yuichiro
Author_Institution
Anzai Lab., Keio Univ., Yokohama, Japan
Volume
1
fYear
1996
fDate
18-21 Nov 1996
Firstpage
295
Abstract
Introducing a certain degree of autonomy to a robot can significantly improve the effectiveness of communications among human users and robots. The emergence of autonomous robots, however, raises new challenges including the issue of goal assignment. We report our ongoing studies on goal assignment which focuses on a limited form of interaction through symbolic reinforcing cues and task embedding
Keywords
Boltzmann machines; decision theory; inference mechanisms; intelligent control; learning (artificial intelligence); learning systems; probability; robots; symbol manipulation; trees (mathematics); Boltzmann probability; autonomous robots; inference process; learning system; preference tree; reinforcement learning; symbolic goal assignment; symbolic reinforcing cues; task embedding; Animals; Feedback; Humans; Robot sensing systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies and Factory Automation, 1996. EFTA '96. Proceedings., 1996 IEEE Conference on
Conference_Location
Kauai, HI
Print_ISBN
0-7803-3685-2
Type
conf
DOI
10.1109/ETFA.1996.573309
Filename
573309
Link To Document