AI Unmanned Balance Forklift-Counterbalanced Unmanned Forklift

Counterbalanced Unmanned Forklift is an automated handling equipment that combines traditional counterweight structure with intelligent navigation technology. Its core principle is to balance the load (rated load 1-5 tons) through the counterweight block at the rear of the vehicle body, equipped with laser SLAM + inertial navigation system (positioning accuracy ±10mm), to achieve autonomous path planning and precise operation.The equipment adopts multi-sensor fusion technology (3D laser radar + visual camera + ultrasonic wave), has dynamic obstacle avoidance and adaptive speed regulation functions, and can operate stably in complex environments.

Main technical features:
1. Heavy-load balance structure: The rear counterweight design allows the front cantilever to carry a larger weight, with a maximum load of 8 tons;
2. Omnidirectional mobility: equipped with steering wheel or Mecanum wheel to achieve flexible steering with zero turning radius;
3. Intelligent safety system: triple protection mechanism (emergency stop button + anti-collision barrier + electronic fence) to ensure the safety of human-machine mixed operation;
4. Cloud scheduling management: Support Fleet Management system to achieve multi-vehicle collaboration, and improve operation efficiency by 60%.

Typical application scenarios:
Heavy manufacturing: Automotive OEM stamping parts transfer (load capacity over 3 tons)
Port logistics: Automated management of empty container yards
Building materials storage: High-level storage and retrieval of high-density goods such as marble and steel
Cross-border storage: Linked with automatic loading robots to complete truck loading and unloading
This equipment is particularly suitable for outdoor uneven roads and heavy material handling scenarios. Compared with traditional AGV forklifts, it has stronger load adaptability and has gradually replaced manual forklifts in dangerous operations in the steel, cement and other industries. Through the 5G remote monitoring system, the equipment status and operation data can be viewed in real time to achieve predictive maintenance.