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  • Unmanned self-balancing Forklift

    The 2-Ton Unmanned self-balancing Forklift developed by LEADOR is a type of balance-weight forklift based on multi-sensor fusion positioning and navigation. This forklift can provide an overall solution for unmanned cargo handling, multi-vehicle scheduling, and logistics automation. Through a positioning system based on multiple sensors such as multi-line LiDAR, RTK, and inertial navigation equipment, it achieves centimeter-level navigation accuracy. It utilizes various sensors including visual, single-line LiDAR, multi-line LiDAR, photoelectric sensors, and collision sensors to identify and adjust the position of pallets, cargo, and production lines. It autonomously controls operations such as locating goods, forking, transporting, unloading, and stacking cargo.

    • Product Features

    • Remote monitoring

      The logistics control platform can real-time monitor the operational status of each unmanned autonomous forklift, including location, trajectory, and status information.

    • Sound and light warnings

      It provides sound and light signal reminders during autonomous driving and can autonomously control brake lights, turn signals, and headlights while driving.

    • Multi-vehicle coordination and traffic control

      It can schedule multiple vehicles based on task assignments and perform traffic control operations at intersections to prevent multi-vehicle gridlock issues.

    • Cargo handling in multiple scenarios

      The unmanned forklift supports single-layer cargo handling on the ground and cargo handling on production lines.

    • Pallet stacking function

      The forklift can accurately stack empty pallets to a certain height.

    • Automatic cargo location recognition

      The forklift can autonomously allocate loading and unloading positions based on the recognition of warehouse rack occupancy and pallet status.

    • Secondary positioning function

      The forklift can automatically adjust the angle and orientation of the forks based on secondary positioning sensor data to align with the pallet.

    • Cargo positioning detection

      It has cargo positioning detection during the cargo picking process, ensuring that the forks are inserted into the pallet correctly.

    • Autonomous perception and obstacle avoidance

      It can autonomously perceive obstacles such as people, vehicles, and objects that may affect vehicle safety in logistics transportation scenarios. It can stop or change lanes promptly under safe passage conditions.

    • Fork obstacle avoidance function

      The forks can avoid obstacles on the path when picking up pallets.

    • Control mode switching

      Equipped with manual and autonomous navigation modes, both of which can be switched at any time.

    • Autonomous positioning and navigation

      Utilizes multiple sensor fusion methods, including LiDAR, RTK, inertial navigation equipment, to achieve positioning and navigation functions.

    • Intelligent pallet and cargo recognition

      It can accurately handle cargo picking and transportation in complex scenarios by recognizing and positioning pallets, cargo, and production lines using multiple types of sensors.

    • 360° safety protection

      Multiple multi-line radars provide 360-degree omnidirectional coverage; front collision avoidance sensors; sound and light-assisted intuitive and reliable warnings.

    • Multi-vehicle scheduling

      Supports the simultaneous scheduling of multiple towing vehicles or logistics robots; supports human-machine interaction on multiple platforms (tablet, PC, in-vehicle terminal).

    • Digital Twin Factory Design

      Supports three-dimensional visualization in the digital twin world; supports a series of innovative advanced application services such as virtual scene design, operation and maintenance, and management; supports smart functions like production linkage, equipment alarms, and operation and maintenance.

    • High-precision positioning

      Maintains high repeatability in positioning accuracy in complex and changing environments, both indoors and outdoors.

    • Flexible deployment

      Easy-to-use deployment tools allow users to quickly modify deployment paths and adjust attributes according to their needs, making logistics path deployment more flexible.

    • Leading autonomous driving algorithms

      Leading Level 4 autonomous driving capabilities in closed scenarios; capable of autonomous path planning and multi-level obstacle perception; stable operation in dynamic scenarios with an 80% change rate.

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