Design of intelligent robot control system based on human–computer interaction

In order to improve the service quality and control effect of the robot, this paper constructs an intelligent robot control system based on the principle of human–computer interaction, and designs a model-based control algorithm to identify the dynamic model of the robot. Aiming at the problem of robot natural language instruction understanding, a set of instruction understanding methods based on instruction intention understanding and key information extraction are proposed. This method realizes the understanding of the instruction intention through short text classification, and realizes the key information extraction of the instruction through sequence labeling. In addition, for robot voice human–computer interaction, this paper designs and implements a set of far-field voice interaction system based on microphone array, voice wake-up and voice recognition. Finally, this paper designs experiments to analyze the effects of the system in this paper. From the experimental research, the intelligent robot control system based on human–computer interaction proposed in this paper has good service capabilities.