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| Dimension (L*W*H） | 735*484*1130mm |
|---|---|
| Weight（With Battery） | 80kg |
| Load | 0.1T |
| Turning Radius | 440mm |
| Minimum Ground Clearance | 34mm |
| Charging Mode | Manual/Automatic |
| Time to Full Charge | <4h |
| Continuous Working Time after Full Charge | 3-5h |
| Voltage and Capacity | 38.4V / 12Ah |
| Maximum Travel Speed (Loaded / Unloaded) | 3.6 / 3.6 km/h |
| Walking Precision | ±20 mm |
| Stopping Precision | ±20 mm |
| Braking Method | Electromagnetic |
| Navigation System | LSLiDAR 3D SLAM |
| Communication Mode | Supports 5G |
| Moving Function | Forward/ Backward/Turn |
The full range of intelligent unmanned forklifts is equipped with up to 7 high-precision LiDAR sensors.
Utilizing LiDAR 3D SLAM technology, the system creates high-precision 3D maps, enabling stable and reliable centimeter-level navigation and positioning.
With comprehensive, surround perception capabilities, the system provides 360° 3D safety protection, ensuring operational safety.
Suitable for various complex indoor and outdoor environments, the forklifts ensure all-weather, all-scenario, fault-free operation.
No modifications to the operating environment are required, allowing for quick production deployment.
Both the LiDAR sensors and the core algorithms, along with the supporting management software, are independently developed and fully controllable.
Utilizing multi-line LiDAR as the core sensor for 3D scanning, this technology gathers rich environmental information without the need to modify the site environment or existing business processes. It enables high-precision 3D map construction, matching positioning, and path planning functions. The positioning is stable and adapts well to dynamically changing environments, making it suitable for various indoor and outdoor applications.
Capable of constructing 3D point cloud maps for extremely large areas of over a million square meters, with rich environmental information and features.
Suitable for various indoor and outdoor environments, unaffected by lighting conditions.
No auxiliary facilities are required for deployment; over 10 unmanned forklifts can be deployed within 1-2 weeks.
Achieve automation, save labor costs and improve user profit margins.
The 3D SLAM unmanned forklift accurately identifies pallets with millimeter-level precision using LSLiDAR’s 128-line LiDAR. It is suitable for various indoor and outdoor scenarios, capable of accurately identifying pallets both day and night, ensuring fault-free operation in all weather and all environments.
Point Cloud Identification：In-house deep learning point cloud identification technology, automatically identify pallet positions.
Offset Tolerance：Supports manual pallet placement with up to 10 cm left/right and front/back offset, and allows for a 10° angular deviation.
Accurate Proofreading：Effectively avoids the accumulated error of traditional technologies in picking up pallets at certain positions.
The LSROBOT 3D SLAM unmanned forklift is equipped with an advanced 128-line hybrid solid-state LiDAR, specifically designed to identify various types and sizes of material cages. Through precise feature extraction and pose calculation, combined with high-precision 3D SLAM positioning technology, the unmanned forklift autonomously navigates to the target location and accurately completes the stacking tasks. This not only improves operational efficiency but also ensures safety and stability throughout the entire process.
Precise & Stable Multi-Layer High Stacking：The LSROBOT 3D SLAM unmanned forklift offers precise sensing and positioning capabilities, supporting stacking up to 4 layers of material cages, ensuring accuracy and stability in the stacking process.
Indoor & Outdoor Versatility, 24/7 Operation：Equipped with a 128-line high-precision 3D LiDAR system, it is suitable for a variety of indoor and outdoor environments, allowing for stable and efficient operation day and night.
Ultra-High Local Control Precision：The stacking accuracy is extremely high, with an error margin controlled within 5 mm, ensuring precision in every stacking task.
Intelligent AI Anomaly Detection for Safety & Efficiency：Using AI-based anomaly detection algorithms, the system monitors the forklift’s position and angle relative to the material cage in real time, making fine adjustments as needed. If unstable stacking is detected, the system immediately triggers safety mechanisms, guiding the forklift to recalibrate without needing to stop, ensuring efficient and safe operations.
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