Construction of Industry-Teaching-Innovation Cases for Robot Training under the Integration of Virtuality and Reality
Aiming to address the current problems in robot training teaching, this paper focuses on the construction of industry-teaching-innovation cases for robot training under the integration of virtuality and reality, such as the disconnection between training content and industry practice, delays in digital transformation, and the lack of training resources. Relying on the intelligent manufacturing industry academy (IMIA), the teaching model integrates virtual simulation training with practical operation to enhance students' practical skills and innovative abilities. The study introduces complex technical challenges faced by enterprises in production, combining a dual-mentor system and a collaborative resource-sharing mechanism between school and enterprises. This ensures that students can master key skills required by enterprises during training, while innovation and entrepreneurship education is integrated throughout the whole training process to stimulate students' creative thinking and entrepreneurial mindset.
Authors
- Tao Shen (ORCID: https://orcid.org/0000-0001-6357-6048)
- Yudong Bao (ORCID: https://orcid.org/0000-0002-6575-6234)
- Jingang Jiang (ORCID: https://orcid.org/0000-0003-0491-9236)
- Wang Kai-rui
- Yaping Wang (ORCID: https://orcid.org/0000-0001-9548-5124)
- Xiong Jiang-long
Institutions
- Harbin University of Science and Technology (CN)
Publication Details
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1109/iceit64364.2025.10976093
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00