Research On Remote Monitoring System Of Intelligent Robot Based On Wireless Network

Robotics is a high-tech technology which integrating the electronics technology, sensor technology, artificial intelligence and so on. In recent years, robot is developing day by day with the trend of modular, intelligent and systematic. Its applications are involving fields closely related to human activities such as agriculture, architecture, disaster prevention, medical care, and even the home service. It has been gradually integrated into human society. Therefore, it is of great importance to research of key and common theories and technologies in robotics.This paper designs an embedded wireless surveillance system based on WIFI. It builds the framework of remote monitoring and controlling system of robot. On the basis of hardware design of the robot remote monitoring and controlling system, the system software platform is studied. Remote Monitoring and Controlling System can be controlled through setting the embedded Linux system. Finally, we realize an easy-to-mobile remote surveillance system that with low-cost, stable performance.In view of the existing disadvantages of single-sensor walking system such as the narrow detecting range and slow response, a new system is proposed. This system combines the ultrasonic walking planning at a single point with the double cross walking planning. The data are collected by multiple ultrasonic sensors to realize the walking planning. The designed all-dimensional walking planning system can be effectively realized, which can greatly expand the detection range and enhance the efficiency of obstacle avoidance and its success rate.A strategy is proposed for solving the intelligent control of the robot arm trajectory using the inverse kinematics analysis, which can control the robot arm position and posture. To calculate the motion trajectory of the robot arm, we set up the robot’s D-H coordinate system and derive the kinematics equations. Combined with the geometric analysis, the angles of the shaft position can be accurately located and the optimal path is exactly obtained. Then, the end effector is adjusted to the coordinate of the target object. MATLAB is used to construct the model of the robot arm to verify the kinematics equations.In view of the existing time-variation, non-linearity of robotic arm control and the difficulty in obtaining a good performance by traditional PID control, a angular PID control based fuzzy neural network is proposed. The control platform which combines RBF neural network, fuzzy control and PID control is applied in robot angular control. This method combines study ability of neural network and the reasoning ability of fuzzy control. RBF neural network and Fuzzy control are applied to adjust the parameters of PID online to a group of kp, ki and kd which is matching the controlled object best, therefore the self-adaptation and intelligence of the robot PID control can come true. The experimental result shows that robot PID position and posture control based fuzzy RBF neural network can get excellent control effect, such as, good stability and control response. The angular control speed and precision can be effectively improved.