Design and Application of ROS-based Intelligent Shopping Guide Robot
In order to improve the efficiency of shopping,save time for consumers,increase the shopping experi-ence,an intelligent shopping guide robot is designed.The robot collects external data through various functional modules,such as voice recognition chip and DHT11 high-precision digital temperature and humidity sensor,which can monitor and feedback the current environment in real time and provide voice communication.In terms of indoor navigation,the robot chassis control center transmits the MPU6050 gyroscope data,motor encoder data and the in-door map constructed by lidar to the Raspberry Pl through the serial port for algorithm calculation.Finally,the pro-cessed movement data is fed back to the chassis control center for kinematic analysis,and the lower computer pro-cesses these data.Thus,the autonomous navigation and speech recognition function of the car is realized.The two-dimensional code recognition module is used to collect shopping information and achieve self-checkout.The test re-sults show that the intelligent robot can fully realize autonomous navigation and two-dimensional code recognition,and achieve the design purpose.
万方数据
维普
