My research focuses on developing innovative approaches to modeling and control systems, with particular emphasis on geometric methods, advanced control techniques, navigation planning, and AI applications in engineering education.
My research focuses on intelligent system modeling and control work, including: utilizing Lie group theory to establish geometric models of systems and design coordinate-free controllers; developing nonlinear control algorithms and reinforcement learning-based control methods to enhance system adaptability in complex environments; applying AI technology and SLAM to autonomous system navigation and planning, enabling efficient localization and movement in complex environments. This work provides comprehensive solutions for intelligent systems from modeling to control to navigation.
AI in Engineering Education emphasizes personalized learning through the use of AI technologies. By employing machine learning algorithms, AI tailors educational experiences to individual students, analyzing their performance and adapting content accordingly.
This personalized approach enhances engagement and effectiveness, transforming Engineering Education into a dynamic and adaptive system that equips students with the skills for success in their academic and professional journeys.