Research on Blended Teaching of Mobile Robot Path Planning Technology Course in the Context of Emerging Engineering Education

Abstract

With the rise of emerging engineering education and the rapid development of artificial intelligence technology, mobile robot path planning technology has become an important research direction in the field of intelligent robotics. To meet the new demands of enterprises for robotics professionals, higher education institutions are actively exploring reforms in teaching models. This paper focuses on the research of a blended teaching model for mobile robot path planning technology. Building on traditional classroom teaching, this study introduces project-based teaching, combining online resource learning with offline practical operations to enable students to deeply understand and master fundamental path planning knowledge. Taking the RRT algorithm as an example, after explaining its basic principles, students are guided to improve the RRT algorithm by incorporating ideas from the artificial potential field algorithm, aiming to enhance the efficiency and quality of path planning. This blended teaching model not only strengthens students' theoretical knowledge but also hones their practical skills and engineering awareness, effectively meeting the training requirements for robotics professionals in the context of emerging engineering education.