Title :
A direct perception for decision making of a service robot
Author :
Masuta, Hiroyuki ; Tamura, Yasuto ; Lim, Hun-ok
Author_Institution :
Dept. of Mech. Eng., Kanagawa Univ., Yokohama, Japan
Abstract :
Recently, an intelligent robot is expected to operate our living area. To realize, a robot should make a decision for action from a simple order by human. For decision making of a robot, it is important that a perception of environmental situation and adaptation to the preference of a person. We have proposed the learning method based on bottom-up process using SOM and top-down process using Fuzzy Inference. Through experiments by simulation, we verified that the proposed method can consider the changing of attribution by time variation. And, we discuss about features of the different proposed method through comparing.
Keywords :
decision making; fuzzy reasoning; learning (artificial intelligence); self-organising feature maps; service robots; SOM; bottom-up process; direct decision making perception; fuzzy inference; intelligent robot; learning method; service robot; top-down process; Humans; Learning systems; Refrigerators; Robot sensing systems; Service robots; Speech recognition; A Service Robot; Fuzzy Inference; Human Interaction; Self Organized Map;
Conference_Titel :
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1488-6
Electronic_ISBN :
2161-4393
DOI :
10.1109/IJCNN.2012.6252848