Intelligent Distance Measurement of Robot Obstacle Avoidance in Cloud Computing Environment

doi:10.23940/ijpe.19.03.p25.959968

Abstract

Abstract: The application of robots plays an important role in the development of intelligent production and life. At present, most robots avoid the obstacle in the process of robot operation through a single ultrasonic ranging, and it cannot guarantee the accuracy of the obstacle avoidance of robots. In this paper, an intelligent distance measurement method of robot obstacle avoidance in a cloud computing environment is designed and studied. Based on the DSP and ultrasonic global positioning system, a multi-channel ultrasonic transmitter/receiver module is adopted to design an autonomous obstacle avoidance control system based on ultrasonic waves and a new fuzzy reasoning method is proposed to realize the function of intelligent distance measurement of robot obstacle avoidance in the cloud computing environment. The simulation and field test for the intelligent distance measurement system of the obstacle avoidance is carried out by Visual C ++ visual programming software. The reliability and feasibility of the system are verified, which provides a wider space for the research and development of the robot.

Key words: cloud computing, robot, obstacle avoidance

Zhili Zhang, Chunping Liu, and Xiaoming Ma. Intelligent Distance Measurement of Robot Obstacle Avoidance in Cloud Computing Environment [J]. Int J Performability Eng, 2019, 15(3): 959-968.

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