Title :
Evolving pet robot with emotional model
Author :
Kubota, Naoyuki ; Nojima, Yusuke ; Baba, Norio ; Kojima, Fumio ; Fukuda, Toshio
Author_Institution :
Dept. of Mech. Eng., Osaka Inst. of Technol., Japan
Abstract :
Deals with a pet robot with an emotional model. The robot requires several capabilities, such as perceiving, acting, communicating and surviving. Furthermore, it should learn various behaviors through interaction with its owner. This paper focuses on teaching a pet robot tricks or to dance. Basically, the owner can teach these tricks by simple communication based on trial and error. The robot performs the tricks by using a fuzzy controller, and further acquires tricks by a delta rule for online learning and a genetic algorithm for off-line learning. We use “Rag Warrior” as our pet robot. Experimental results show that this robot performs tricks through interaction with its owner
Keywords :
fuzzy control; genetic algorithms; hobby computing; interactive systems; learning systems; legged locomotion; robot programming; Rag Warrior; acting; behavior learning; communication; dancing; delta rule; emotional model; evolution; fuzzy controller; genetic algorithm; off-line learning; online learning; perception; pet robot; robot teaching; robot-owner interaction; survival; trial-and-error method; tricks; Communication system control; Education; Educational robots; Fuzzy control; Genetic algorithms; Information science; Intelligent robots; Mechanical engineering; Positron emission tomography; Robot sensing systems;
Conference_Titel :
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
Conference_Location :
La Jolla, CA
Print_ISBN :
0-7803-6375-2
DOI :
10.1109/CEC.2000.870791