Title :
Structured learning for partner robots
Author_Institution :
Dept. of Mechanical Eng., Tokyo Metropolitan Univ., Japan
Abstract :
This paper introduces a learning method, structured learning, for partner robots interacting with a human. Soft computing techniques such as fuzzy, neural, and evolutionary computing methods are applied for learning the interrelation between a robot and a human. We show several experimental results of two types of partner robots.
Keywords :
evolutionary computation; fuzzy logic; learning (artificial intelligence); neural nets; robots; evolutionary computing methods; fuzzy logic; neural networks; partner robots; soft computing techniques; structured learning; Fuzzy control; Human robot interaction; Information analysis; Information processing; Intelligent robots; Intelligent structures; Learning systems; Mechanical engineering; Positron emission tomography; Robot sensing systems;
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8353-2
DOI :
10.1109/FUZZY.2004.1375676
