1P1-E06 Behavior Learning For Imitation Learning Based On SSGA And MNN
Toshiyuki Shimizu, Naoyuki Kubota · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2006
Imitation is a powerfur tool for behavior learning and human communication. Basically, imitative learning is composed of model observation and model reproduction. This paper applies a spiking neural network and self-organizing map for model observation, and modular neural networks with some multilayer-perceptron and a steady-state genetic algorithm for model reproduction. The proposed method is applied for a partner robot interacting with a human. Experimental results show that the proposed method can learn behaviors through imitation and can interact with a human efficiently.