In the current context of deepening reform and technology integration in higher vocational education, the traditional teaching mode has been difficult to meet the diversified needs of practical and skill-oriented talent cultivation. In order to improve teaching efficiency and students' practical ability, this paper proposes an intelligent robot collaborative teaching system for higher vocational education, which integrates the concept of human-robot collaboration with key technologies such as intelligent perception, task planning, natural interaction, etc., and constructs a new teaching environment in which teachers and robots collaborate to teach. In this paper, we first analyze the real needs of higher vocational education in terms of course content and teaching methods, and then design a collaborative teaching system architecture covering task scheduling, knowledge modeling and human-robot interaction, and realize the intelligent allocation and collaborative execution of the teaching content through modular design. In the system testing stage, this paper verifies the system operation effect in simulated teaching scenarios, and the results show that the system shows good results in enhancing teaching interactivity, reducing teachers' burden, and promoting students' active participation. This study provides a systematic solution for the application of intelligent teaching means in higher vocational education, and lays a technical foundation for the subsequent popularization and application of educational robots.
Xuejuan Zhang (Sun,) studied this question.