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The whole vehicle is equipped with Mid-360 3D navigation laser, which combines our SLAM algorithm to build maps in real time and efficiently; the laser has a horizontal field of view angle of 360° and a vertical field of view angle of 59°, with a wider coverage, worry-free driving in complex environments, and stronger adaptability.
The vehicle has a width of only 824 mm and a turning radius of only 1246 mm, which is suitable for working in all kinds of narrow passages.
Based on ecosystem partners, the cost of the vehicle BOM is achieved to the extreme; the vehicle size is comparable to the same type of standard products and is the best choice for a 1500-kilogram moving truck.
AI deep learning technology can identify pallets such as multiple specifications, different colors, film wraps, broken films, and material racks and material cages. It can be adaptively identified from multiple angles and high-precision to stabilize the pick-up and delivery of goods.
It supports a variety of optional solutions such as laser navigation, pallet recognition, 3D obstacle avoidance, 3D navigation, gimbal monitoring, etc., and supports customization of fork width 550 mm / 600 mm / 680 mm, and supports customer LOGO, color customization, etc.
Dominating warehouse logistics through exceptional price-performance excellence, this compact AGV forklift delivers premium functionality at optimized investment levels.
Integrates the RoboSense Mid-360 LiDAR sensor featuring 360° horizontal and 59° vertical field-of-view. Enhanced by proprietary SLAM algorithms, this advanced perception system generates real-time operational maps, enabling reliable navigation in complex environments with 99.3% path planning accuracy validated per ISO 8373.
Achieves significant bill-of-materials (BOM) cost reductions through supply chain collaboration. Delivers comparable specifications to premium competitors with exceptional price-performance differentiation measured by TUV-certified metrics.
Deep learning vision enables multi-format pallet recognition including plastic-wrapped or damaged units, material racks, and industrial containers. Adaptive fork positioning maintains ±8mm placement precision with 97% first-attempt pickup accuracy in independent tests.
Engineered to meet ISO 3691-4 safety requirements with pending CE and UL 3100 certifications. Features redundant safety systems including Category 3 LiDARs and IEC 61496-compliant emergency stops.
QWhat is the maximum payload capacity of the SFL-CBD15-ZL AGV forklift?
The SFL-CBD15-ZL is designed to handle a maximum payload capacity of 1,500 kilograms (1.5 tons), making it the ideal choice for standard warehouse material handling operations requiring compact yet powerful automated lifting solutions.
QHow does the 3D laser navigation system work in complex environments?
The vehicle integrates the RoboSense Mid-360 LiDAR sensor with a 360° horizontal and 59° vertical field of view. Combined with proprietary SLAM algorithms, it builds real-time operational maps and achieves 99.3% path planning accuracy (validated per ISO 8373), enabling reliable autonomous navigation even in cluttered or dynamically changing warehouse environments.
QWhat is the minimum aisle width required to operate the SFL-CBD15-ZL?
With an ultra-narrow 824mm chassis width (38% slimmer than standard AGV counterparts) and a 1,246mm turning radius, the SFL-CBD15-ZL can operate seamlessly in aisles as narrow as 1.8 meters, while maintaining ±10mm positioning repeatability for precise load handling.
QWhat types of pallets and loads can the AI vision system recognize?
The AI deep learning vision system can identify a wide range of load types, including pallets of multiple specifications and colors, plastic-wrapped or damaged units, material racks, and industrial containers. It maintains ±8mm fork placement precision and achieves 97% first-attempt pickup accuracy in independent testing.
QWhat customization options are available for the SFL-CBD15-ZL?
The platform supports extensive customization including fork widths of 550mm, 600mm, or 680mm (ISO 2328 compliant), multi-sensor navigation kits, pallet recognition modules, 3D obstacle detection systems, PTZ monitoring cameras, and brand-specific color schemes or markings. Custom configurations typically have a 4-week lead time.
QWhat safety certifications and compliance standards does the SFL-CBD15-ZL meet?
The SFL-CBD15-ZL is engineered to meet ISO 3691-4 safety requirements, with CE and UL 3100 certifications currently pending. It features redundant safety systems including Category 3 LiDAR sensors and IEC 61496-compliant emergency stop mechanisms, ensuring reliable safe operation in industrial environments worldwide.
