一种无人叉车车厢内自动码放料笼的方法
By combining laser SLAM and visual SLAM navigation with 3D environmental perception, the problem of high-precision placement of multiple rows of material cages in a narrow forklift compartment was solved, achieving efficient material cage stacking and safe automated operation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHANGSHA WANWEI ROBOT CO LTD
- Filing Date
- 2025-12-19
- Publication Date
- 2026-07-17
AI Technical Summary
Unmanned forklifts face challenges in positioning and navigation accuracy and path planning when placing multiple rows and columns of material cages with high precision and tightness in narrow, unstructured cargo spaces, especially in environments where GPS is denied due to a lack of effective navigation signals.
Using laser SLAM or visual SLAM to construct an environmental map, combined with 3D environmental perception and visual SLAM navigation, the point cloud is fitted to the car body wall, and precise positioning is achieved by combining differential drive and visual sensors to realize differentiated placement of side cages and middle cages. Visual-assisted positioning and error compensation mechanisms are used to ensure high-precision placement of the cages.
It enables unmanned forklifts to perform high-precision, tight-packing in narrow truck compartments, improving automation levels and space utilization while ensuring operational safety.
Smart Images
Figure CN121376436B_ABST