一种面向洗车机器人的具身智能云-边-端协同学习系统
By using the embodied intelligent cloud-edge-device collaborative learning system, the problems of isolated cleaning strategies and poor model adaptation of car wash robots have been solved, realizing the generation of personalized global models and privacy protection, and improving communication efficiency and security.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGSU HUALING ELECTRICAL TECH CO LTD
- Filing Date
- 2026-06-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing car wash robot cleaning strategies are isolated, have poor model adaptation, and pose high privacy risks. Traditional federated learning struggles to handle data heterogeneity, suffers from inefficient communication, and provides insufficient privacy protection.
Employing an embodied intelligent cloud-edge-device collaborative learning system, it generates a personalized global model through edge data collection, edge anonymization, and local training, followed by cloud gradient aggregation. Privacy protection and model updates are achieved through encrypted communication.
It has achieved continuous optimization of car wash robot clusters, solved the problems of isolated cleaning strategies, poor model adaptation and high privacy risks, improved communication efficiency and privacy protection, and adapted to the needs of different regions and car models.
Smart Images
Figure CN122413481A_ABST