Visual Perception for Human Detection of A Partner Robot

Abstract

This paper proposes a human detection method of a partner robot for natural communication with human and model reproduction for imitative leaning. The proposed method is composed of differential extraction, steady-state genetic algorithm, and a multilayered neural network. The proposed method is applied for a partner robot interacting with a human. Furthermore, we show experimental results about the proposed method.