Abstract: This paper deeply integrates artificial intelligence technology, robotics technology and virtual simulation technology to construct an intelligent robot experimental system including mobile robot modeling, mobile robot control, mobile robot perception, mobile robot positioning and navigation technology and other experimental contents. Based on the theoretical knowledge learned in the “Intelligent Engineering” course, focusing on solving technical problems in engineering applications, this intelligent robot experimental system improves students’ engineering practice ability through the analysis of typical mobile robot system design cases and a large number of experiments. This paper explores a new personalized, informatized, and intelligent experimental teaching model for the combination of virtual and reality, which covers the knowledge content system of intelligent control, planning, perception, cognition, decision-making, and execution, radiating intelligent algorithms, intelligent control, intelligent planning, and virtual simulation to design a multi-disciplinary and multi-technology integration experimental teaching model, and to establish the “new engineering” characteristics of artificial intelligence disciplines.