The Research And Design Of The Moving Monitored Robot

The robot has the widespread application prospect as one kind of being able to replace the artificial work of the intelligent machine. At present, with the development of robot technology, the robot intelligence becomes more and more important. Therefore it is an important indicator for the robot intelligence to avoid obstacles. This article uses the ultrasonic sensor to realize the control of robotic avoiding obstacles. We design an ultrasonic ranging system to probe the environment on every side of the robot , and analyze the obstruction information .A control algorithm has been worked out to accomplish pattern recognition,avoiding obstacle system has been applied on the robot by the experiments , then independently realizes the avoiding obstacle. The gathered image passed to the computer through the camera,we realizes the control of scene monitoring. The content as follows:With the accuracy of centimeters, we use 51 micro-chip to design a measurement ranging system, which satisfies the requirement of blocker avoiding controls。In order to increase the measurement precision of the single ultrasonic sensor and decrease the interferences degree produced by ultrasonic sensors, we have adopted the method of many sensors time division measures on the hardware。We use 74L245 as the digital control drive,and use the digital control to demonstrate the distance.The output square-wave is used as direct current motors of the control signal by I/O,the control signal drive current motors by L298N.This paper also presents a fuzzy recognition algorithm, which used to achieve autonomous obstacle avoidance of a mobile robot. Through the combination of heuristic fuzzy rulers, we build up pattern-mapping between ultrasonic sensory input data and avoidance. Finally, a virtual environment has been built and emulation has been in progress in VB.In order to verify the effectiveness of these proposed methods, this paper gives the results of obstacle avoidance through the experiments in robot. This results show that the system meets the requirements of obstacle avoidance.