Unmanned Pallet Handler-Pallet-type Unmanned Forklift

The Pallet-type Unmanned Forklift is an intelligent logistics equipment based on autonomous driving technology. It is designed for standardized pallet handling scenarios. It integrates laser navigation, environmental perception and intelligent scheduling systems to realize automatic loading, unloading, transportation and stacking of pallet goods.

1. Working Principle
The unmanned pallet forklift is based on AGV/AMR technology and realizes autonomous operation through multi-sensor fusion. The system uses laser SLAM navigation (accuracy ±10mm) combined with visual assisted positioning, and is equipped with a 3D camera for pallet recognition (recognition rate>99.5%). The central controller processes environmental data in real time, plans the optimal path through the Dijkstra algorithm, and the servo motor drives the fork arm to complete the lifting operation with an accuracy of ±1mm. It supports docking with the WMS/ERP system API to realize the cloud-based issuance of task instructions and the return of operation data.

2. Core features
Intelligent self-adaptation: The load detection system automatically adjusts the fork-picking force (supports 0.5-2 tons of load);
Efficient collaboration: Supports 5G communication, and the multi-vehicle dispatching system can realize cluster operation of 30+ vehicles;
Safety protection: Triple safety mechanism (LiDAR + anti-collision bar + emergency stop button), CE certified;
Energy saving and environmental protection: Lithium battery power supply (8 hours of battery life), energy consumption is 60% lower than that of traditional forklifts;

3. Application scenarios
Manufacturing: Automatic distribution of parts in the welding workshop of automobile factories (beat matching ±15s);
Cold chain logistics: Automatic handling of frozen food pallets in -25℃ environment;
Cross-border e-commerce: Automatic loading and unloading of containers in smart bonded warehouses (efficiency increased by 3 times);
New energy: Automatic transfer of silicon ingots in photovoltaic module production lines;

4. Technical advantages
Compared with manual forklifts, unmanned models can reduce operating costs by 45%, improve operating efficiency by 40%, and achieve 99.9% inventory accuracy. It is particularly suitable for scenarios that require 24-hour continuous operation, high-risk environments, or high handling accuracy requirements. The system supports digital twin interfaces, leaving room for future smart factory upgrades.