1.6 T load, vehicle width is only 880 mm, minimum turning radius is 1329 mm, adapting to various narrow channels. Standard equipped with servo walking and steering, drive wheel dual-spring shock absorption and booster cylinder, with higher stability and operating accuracy, and no slippage troubles.
It supports three navigation methods: SLAM, reflector, and NFL, covering various scenario business navigation needs, such as secondary positioning, high dynamic environment, no transformation environment, etc.; the positioning accuracy can reach ±10 mm.
It supports identification of pallets of various specifications and colors, as well as material racks and material cages, and can be adaptively identified from multiple angles and high-precision to achieve stable pick-up and delivery.
The entire series is equipped with dual obstacle avoidance laser, plug-in protection photoelectric, and protective touch edges. It can be equipped with 360° three-dimensional safety protection laser to ensure the safety of human-computer interaction scenarios.
Supports up to 46A fast charging, charging for 1 hour, single battery range of 4 to 6 hours, dual battery range of 8 to 10 hours. 3-minute novice quick battery change; Global insurance certified modular battery, supporting dual battery combinations, enjoying dual battery life.
Q What is the maximum load capacity and minimum aisle width requirement for the SFL-CBD16-S?
The SFL-CBD16-S supports a maximum payload of 1.6 tons. With a vehicle body width of only 880 mm and a minimum turning radius of 1,329 mm, it is specifically engineered to operate efficiently in narrow aisles and confined warehouse environments where standard forklifts cannot maneuver.
Q What navigation methods does the SFL-CBD16-S support?
The SFL-CBD16-S features a Tri-Modal Navigation System supporting three methods: SLAM (LiDAR-based localization), Reflector Marker Guidance, and Natural Feature Learning (NFL). This flexibility allows deployment across diverse warehouse scenarios including high-dynamic environments and zero-infrastructure sites, all with ±10 mm positioning accuracy.
Q How does the AI vision system improve pallet handling accuracy?
The onboard deep learning vision system enables multi-standard pallet recognition, color-independent load identification, and adaptive fork alignment with ±5 mm precision for both racks and containers. In ISO 8373 validation testing, the system achieves a 99.2% first-attempt pickup success rate, significantly reducing operational errors and downtime.
Q What safety features are included as standard, and what optional upgrades are available?
Standard safety equipment includes dual Category 3 Safety LiDARs (EN 61496 certified), fork tip photoelectric sensors, and EN 1175-compliant bumpers. As an optional upgrade, a 360° 3D Safety LiDAR certified to ISO 3691-4 can be added to provide full three-dimensional protection for human-robot interaction zones.
Q What are the battery options and how long does it take to charge?
The SFL-CBD16-S supports up to 46A fast charging, achieving a full charge in approximately 1 hour. A single battery provides 4–6 hours of runtime, while the dual battery configuration extends operation to 8–10 hours. The modular battery design allows a quick swap in just 3 minutes, and the globally certified batteries support dual battery combinations for maximum uptime.
Q Is the SFL-CBD16-S suitable for environments without existing infrastructure modifications?
Yes. Thanks to the Natural Feature Learning (NFL) navigation mode, the SFL-CBD16-S can operate in environments with zero infrastructure modifications. No reflectors or special markers need to be installed. Combined with SLAM and reflector-based options, the robot adapts seamlessly to new or existing facility layouts with minimal setup time and cost.