2results about How to "Improve task adaptability" patented technology

This application discloses a hierarchical adaptive intelligent association and alignment method for multimodal flight data, comprising: acquiring multi-source airborne flight data and preprocessing it; mapping data of different modes in the preprocessed multi-source airborne flight data to a common feature space to obtain cross-modal alignment features, wherein an aircraft physical dynamic model is introduced as a constraint during the mapping process; performing local precise association and global semantic association in parallel based on the cross-modal alignment features; wherein the local precise association is used to obtain pixel-level or point-level matching results, and the global semantic association is used to obtain globally consistent semantic association results; and fusing the results of the local precise association and the global semantic association to obtain association information of corresponding granularity. This invention effectively solves the "data silo" problem caused by differences in format, spatiotemporal reference, and modality of multi-source flight data, significantly improving association accuracy, robustness, and system adaptability.

The application provides a kind of foot type robot obstacle avoidance navigation control method and system, it is related to robot control technical field, the method includes: obtaining building information model, construction stage and work task information;Component semantic analysis and traffic space extraction are carried out on the model, and multi-layer navigation prior map is generated;Initial pose estimation and real scene perception are completed using sensors to obtain online results, which are spatiotemporally registered with the prior map to identify environmental differences;Risk weight is updated according to environmental differences and construction stage information, and the prior map is refreshed;Based on the updated semantic topological constraints and task information, an initial global path is generated;Based on the path, online results, foot end state and motion posture, a comprehensive evaluation result is obtained;According to the result, local obstacle avoidance and trajectory correction are performed to obtain the final path and gait parameters and issue to the controller for execution.The application improves the environmental adaptability, path executability and long-term deployment self-maintenance capability of the robot in dynamic construction site.