An AI robot self-training system based on a traditional opera action library
By constructing a library of opera movements and an AI robot self-training system, and utilizing high-precision motion capture and deep learning algorithms, the problems of intelligent and personalized opera teaching have been solved, improving learning efficiency and cultural dissemination effectiveness.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI FEILAIFEIQU NEW MEDIA EXHIBITION DESIGN CO LTD
- Filing Date
- 2025-11-17
- Publication Date
- 2026-06-05
AI Technical Summary
Existing opera teaching aids lack intelligence and personalization, and cannot provide customized teaching based on learners' characteristics and needs. AI systems lack self-training mechanisms and movement data recording and management in opera movement learning, which is not conducive to data sharing and utilization.
An AI robot self-training system based on a traditional Chinese opera motion library is constructed, including modules for motion capture, data preprocessing, classification and labeling, database management, AI robot learning, and self-training optimization. High-precision motion capture equipment, deep learning, and reinforcement learning algorithms are used to achieve accurate recording, learning, and optimization of motion data.
It improves the accuracy and fluency of learning opera movements, reduces the cost of inheriting traditional opera, promotes the dissemination and internationalization of opera culture, breaks the limitations of time and space, and provides personalized teaching solutions.