Title :
Assigning symbolic goals to autonomous robots
Author :
Namkiu, Chan ; Anzai, Yuichiro
Author_Institution :
Anzai Lab., Keio Univ., Yokohama, Japan
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;
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
DOI :
10.1109/ETFA.1996.573309
