Motion planning for a robotic system with structured intelligence

Abstract

This paper deals with a robotic system with structured intelligence. Recently, behavior engineering has been discussed as a new technological discipline. The intelligence of a robot depends on the structure of hardware and software for processing information, that is, the structure determines the potentiality of intelligence. Based on perceptual information, a structured intelligent robot makes action from four levels in parallel. In addition, the robot generates its motion through the interaction with environment and at the same time gradually acquires its skill based on the generated motion. To acquire skill and motion, the robot requires internal and external evaluations at least. Actually, a virus-evolutionary genetic algorithm is applied to motion planning for a redundant manipulator and discuss its effectiveness through computer simulation results.