Interactive Design of Service Robot Based on Big Data Algorithm and Computer Vision

Virtual robots are widely used in education and training, industrial production, simulation design and remote control. Simulating real equipment in virtual environment can reduce the cost and provide users with good display effect. At present, virtual robots are rarely used in service and user interaction. Natural user interaction system requires that computers can interact with people in a natural way, and carry out multi-channel and multi-scale human-computer interaction according to the information expressed in human gestures, sounds, expressions, movements and other natural behaviors, with the aim of realizing rapid and convenient human-computer interaction. This paper designs a natural language understanding algorithm and a task planning algorithm for the service robot, in which the dependency grammar and valence theory are used as the natural language understanding algorithm, and the improved evolutionary algorithm is used as the task planning algorithm. The effectiveness of the algorithm is verified through the implementation of the home service robot simulation competition platform; And through the comparison with the algorithm effect of other competition teams, its superiority is verified.