AI-Driven AR-Enhanced Virtual Simulation for Robot Motion Planning Education: A ROS-Based Framework with Integrated Ideological and Political Learning
DOI: 10.23977/trance.2026.080105 | Downloads: 4 | Views: 125
Author(s)
Yun Luo 1, Zhuo Wang 1, Yinan Zhao 1
Affiliation(s)
1 School of Mechanical Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Shanghai, China
Corresponding Author
Zhuo WangABSTRACT
With the rapid advancement of intelligent manufacturing and robotics, the teaching of multi-joint robot motion planning faces increasing challenges in terms of cost, scalability, and experiential learning. Traditional laboratory-based instruction often lacks flexibility and fails to provide intuitive understanding of complex spatial and dynamic processes. To address these issues, this paper proposes an AI-driven, Augmented Reality (AR)-enhanced virtual simulation framework for robotics education in a Robot Operating System (ROS) environment. The framework integrates virtual simulation, artificial intelligence-based motion planning, and AR-based spatial visualization to create an immersive and interactive learning environment. By overlaying virtual robot trajectories, kinematic states, and planning feedback onto physical or simulated scenes, AR significantly enhances graduate students' spatial cognition and engagement. In addition, ideological and political education (IPE) elements are embedded throughout the teaching process to cultivate graduate students' engineering ethics, safety awareness, and social responsibility. Experimental results and teaching evaluations demonstrate that the proposed framework improves graduate students' understanding of motion planning concepts, enhances learning motivation, and promotes the integration of technical competence with value-based education.
KEYWORDS
Artificial Intelligence (AI); Augmented reality; Virtual Simulation Education; Ideological and Political Education (IPE); Robotics Motion PlanningCITE THIS PAPER
Yun Luo, Zhuo Wang, Yinan Zhao. AI-Driven AR-Enhanced Virtual Simulation for Robot Motion Planning Education: A ROS-Based Framework with Integrated Ideological and Political Learning. Transactions on Comparative Education (2026). Vol. 8, No.1, 33-38. DOI: http://dx.doi.org/10.23977/trance.2026.080105.
REFERENCES
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