FAQ

Yes. Data can be exchanged with the enterprise management system through API or standard protocols (such as HTTP, MQTT).

It is much lower than the labor cost. The main maintenance includes: regular cleaning of sensors. Battery maintenance (lithium battery life is about 5 to 8 years). Software system upgrade.

Consider: load (1~5 tons is common). Lifting height (2~10 meters). Navigation method (select according to the complexity of the environment). Charging mode (battery replacement/automatic charging).

Manufacturing: handling of raw materials/finished products (automobiles, electronics, home appliances, etc.). Logistics and warehousing: automated three-dimensional warehouses, e-commerce sorting centers. Food and medicine: cold chain warehousing, clean environment transportation.

Through multi-sensor fusion, such as: LiDAR (obstacle avoidance scanning) Ultrasonic sensor (close-range detection) Infrared sensor (anti-fall) 3D camera (recognize complex environment)

Common navigation methods include: Laser navigation (LIDAR): positioning through reflectors or natural contours, with high accuracy. Visual navigation (VSLAM): identifying the environment based on cameras and algorithms. Magnetic stripe/QR code navigation: low cost, but poor flexibility.

Unmanned: Reduces dependence on manual labor and reduces labor costs; High precision: Millimeter-level positioning to avoid human operation errors; 24/7 operation: Supports uninterrupted operation and improves efficiency; Safety: Equipped with obstacle avoidance sensors to avoid collision risks.

Intelligent unmanned forklift (AGV/AMR Forklift) is an unmanned driving device that uses laser navigation, visual recognition or SLAM technology to achieve autonomous handling, and can replace manual labor to complete tasks such as cargo loading and unloading, stacking, and transportation.