Abstract
In view of the accuracy and rapidity of intelligent robot information processing, this paper designs a multi-sensor hardware system of robots by using ultrasonic sensors, infrared sensors, Hall sensors, contact sensors and other sensors, and focuses on multi-sensor data. A hybrid data fusion structure and a data fusion algorithm using Bayesian inference algorithm are constructed. The fuzzy obstacle avoidance algorithm is proposed and designed to solve the problem of robot obstacle avoidance. The hardware experimental environment of the system, the experimental results verify the effectiveness of the above-mentioned robot control function implementation. After experimental monitoring, the smart home robot has the advantages of low cost, multi-function, easy maintenance and convenient upgrade, and realizes functions such as voice recognition, home entertainment, indoor cleaning, security detection and alarm.
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