A method, system, device and medium for generating an action strategy of a humanoid robot
By combining end-to-end large models and domain knowledge graphs, we have achieved differentiated feature extraction and fusion of multi-source datasets, solved the problem of multi-scene and multi-degree-of-freedom adaptation in humanoid robot motion strategy generation, and improved the quality and safety of motion strategies.
CN122401424APending Publication Date: 2026-07-17广州里工实业有限公司
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 广州里工实业有限公司
- Filing Date
- 2026-06-05
- Publication Date
- 2026-07-17
Smart Images
Figure CN122401424A_ABST
Abstract
The application discloses a kind of action strategy generation method, system, equipment and medium of humanoid robot, wherein, according to the end-to-end big model, the multi-source data set is extracted and fused with different characteristics, to obtain several different types of single modal features and target cross-modal features;According to the degree of freedom general coefficient and the joint coordination weight coefficient, all the single modal features and the target cross-modal features are calibrated, to obtain calibration features;According to the domain knowledge graph, the calibration features are enhanced with feature knowledge, to obtain knowledge enhanced features;According to the knowledge enhanced features, strategy generation processing is carried out, to obtain the target action strategy of the humanoid robot in the current work stage.The method can effectively improve the generation quality of humanoid robot action strategy.The application relates to the field of artificial intelligence technology.
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