Abstract
Our goal is to create an autonomous robot which can communicate with people for a long time. In this paper, a emotional motion generation algorithm constructed of an endocrine system model and a neural network algorithm is described. We carried out an experiment to survey the adaptability and flexibility of the robot's behaviors. As the result, the robot with our proposing algorithm could adapt to the simulated environment including a predetor which discharges the robot's battery.
