About Driverless Autonomous Forklifts

Sensing technology: Autonomous driving unmanned forklifts are usually equipped with a variety of sensors, including lidar, cameras, ultrasonic sensors, etc., to sense the surrounding environment and achieve navigation and obstacle avoidance.

Autonomous Navigation: These forklifts use advanced autonomous navigation systems to automatically plan paths, avoid collisions, and perform tasks such as handling, stacking, and placing goods in industrial warehousing or production sites.

Real-time positioning system (RTLS): In order to improve positioning accuracy, some unmanned forklifts use real-time positioning systems such as GPS, UWB (Ultra Wideband) or other technologies to ensure that the forklift accurately navigates in the warehouse or factory.

Internet of Things (IoT) connectivity: Some forklifts can also be connected to other equipment and systems to enable real-time data exchange, thereby improving the efficiency of the entire production and logistics process.

Automated task execution: These forklifts are capable of performing a variety of tasks including autonomous handling, loading and unloading of goods, stacking between racks, etc. without the need for human intervention.

Safety features: Autonomous driverless forklifts are usually equipped with safety features, such as emergency parking systems and obstacle avoidance systems, to ensure safety during work.

The integration of these technologies makes autonomous forklifts an important tool in modern logistics and manufacturing to improve efficiency and reduce manual intervention. As technology continues to develop, the performance and application areas of these systems will continue to expand.