Using multi-line laser radar as the core sensor for 3D scanning, the environmental information is rich, and there is no need to modify the on-site environment and existing business processes, achieving high-precision 3D scene map construction, matching positioning, path planning, and other functions. The matching positioning is stable and adapts to scenes with high dynamic change rates, suitable for various indoor and outdoor environments.

The 3D SLAM unmanned forklift series uses the Laser Technology 128-line high-precision hybrid solid-state LiDAR to accurately identify pallets, achieving millimeter-level precision. It is suitable for various indoor and outdoor scenarios, capable of accurately identifying pallets day and night, ensuring fault-free operation around the clock in all environments.

Functional Features

Point Cloud Recognition:Independently developed deep learning laser point cloud recognition technology, automatically identifying pallet locations.

Offset Tolerance:Allows manual placement of pallets with a lateral offset of 10cm, a forward and backward offset of 10cm, and an angular offset error range of 10°.

Accurate Calibration:Effectively avoids cumulative errors in pallet position at pickup points associated with traditional technologies.

Raytheon Intelligent 3D SLAM unmanned forklift is equipped with a leading 128-line hybrid solid-state LiDAR, specifically designed to identify various types and sizes of material cages. Through fine feature extraction and pose calculation, combined with high-precision 3D SLAM positioning technology, the unmanned forklift can autonomously navigate to the target location and accurately complete the stacking task of material cages, which not only improves operational efficiency but also ensures the safety and stability of the entire operation process.

Functional Features

Multi-layer high-level stacking, accurate and stable:Raytheon Intelligent 3D SLAM unmanned forklift has accurate perception and positioning capabilities, supporting stacking of up to 4 layers of material cages, ensuring the accuracy and stability of the stacking.

Applicable to indoor and outdoor scenarios, all-weather operation:Equipped with a 128-line high-precision 3D LiDAR solution, suitable for various indoor and outdoor scenarios, capable of stable and efficient operation both day and night.

Ultra-high local control accuracy:Stacking accuracy is extremely high, with error control within 5mm, ensuring the accuracy of each stacking.

Intelligent AI anomaly detection, safe and efficient:Using intelligent AI anomaly detection algorithms, the system monitors the position and angle of the forklift and material cages in real-time and makes fine adjustments. If unstable stacking is detected, the system will immediately trigger a safety mechanism, guiding the forklift to recalibrate without needing to exit, ensuring operational safety with high efficiency.