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Unmanned forklift 3D SLAM navigation system of LSLIDAR meets the market demand for indoor and outdoor automation scenarios such as airports, ports, factories and logistics centers. The combination of high precision, high flexibility, high stability and the compatibility of multi-robot coordination system will become the symbol of the global intelligent logistics applications.
Combined with advanced sensors such as LiDAR, Camera, IMU, etc., through multi-sensor data fusion and 3D SLAM algorithm, it can achieve high-precision 3D modeling, positioning, path routing, obstacle avoidance and other significant functions of real operating scenarios.
The W series anti-collision LiDAR is designed for real-time three-level surround protection for robotic forklifts, which can control the speed of the vehicle and handle early warnings in real time, whether it is driving in a straight line or turning. Cooperate with auxiliary parts such as infrared and bumper to protect fragile parts and prevent falling and rollover accidents.
The environment can be modeled and route adjusted easily and quickly without installing positioning markers such as QR code, reflective tape, and magnetic strip. When the warehouse scenario needs to be modified or extended, the operation and configuration can be implemented in the background.
The system is not affected by day and night changes and can work stably throughout the day. The concept of unmanned warehouse is realized by combining the multi-robot cooperative system with MES/ERP system.
Combined with the LiDAR and visual data fusion method, the advanced neural network deep learning algorithm is used to identify the pallet position, and then accurately measure the positioning coordinates of forklift holes. Operation does not require any additional positioning accessories such as QR codes. When the pallet is not placed correctly, the forklift can adjust the route to rectify the deviation, and efficiently complete the stacking, palletizing and handling.
Advanced 3D SLAM modeling and multi-sensor data fusion methods, combined with localization, enable the whole system to capture more detailed environmental information, thus greatly improving the perception accuracy and system redundancy of unmanned forklift trucks. Therefore, the unmanned forklift can be used in various complex indoor and outdoor scenarios, the free entry and exit of containers, etc., which provides a strong guarantee for the safe and stable operation of the unmanned forklift.
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