Intelligent laboratory AI mobile composite robot path planning method
By analyzing the spatiotemporal correlation of multi-sensor datasets and optimizing the EMC interference prediction model, the electromagnetic interference problem in the path planning of AI mobile composite robots was solved, the anti-interference capability and reliability of the path were improved, and the robot was able to achieve stable autonomous navigation in complex environments.
CN121187282APending Publication Date: 2025-12-23SHANGHAI YIYI INFORMATION TECHNOLOGY CO LTD
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Patent Information
- Application Number
- CN202511365721.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-23
- Publication Date
- 2025-12-23
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Figure CN121187282A_ABST
Abstract
The invention discloses an intelligent laboratory AI mobile composite robot path planning method, and relates to the technical field of robot navigation, and the method comprises the steps: collecting a laboratory multi-sensor data set, carrying out the space-time correlation analysis, and forming the obstacle probability distribution; performing grid energy value mapping on the obstacle probability distribution, outputting an environment grid map, and performing global path search on the environment grid map based on a Dijkstra algorithm to obtain a basic obstacle avoidance path; curvature continuity optimization and equal-arc-length uniform sampling are carried out on the basic obstacle avoidance path, an initial path node sequence is generated, through the Dijkstra algorithm and the EMC interference prediction model, the reliability of path planning on the geometric and motion level is remarkably enhanced, and therefore the anti-interference capacity of path planning is improved.
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