Robot Autonomous Perception Model for Internet-Based Intelligent Robotic System

Abstract

The Internet-based robot is a popular topic in robot control research recently. A platform build to provide information for robot can increase its intelligence and performance of teleoperation greatly. This paper implements the robot system based on the Robot Autonomous Perception Model (RAPM) can get the information on the Internet through autonomous perception, optimize paths based on Genetic Algorithms, and fulfill the mission out of the robot’s field range. The experiment shows RAPM possesses greatly extended capability and proper structural frame, and the optimizing way based on GA is effective. This has significant purpose for increasing Internet-based robots intelligence and behavior capacity.