立得空间信息技术股份有限公司-乐博官网

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.

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the logistics control platform can real-time monitor the operational status of each unmanned autonomous forklift, including location, trajectory, and status information.
it provides sound and light signal reminders during autonomous driving and can autonomously control brake lights, turn signals, and headlights while driving.
it can schedule multiple vehicles based on task assignments and perform traffic control operations at intersections to prevent multi-vehicle gridlock issues.
the unmanned forklift supports single-layer cargo handling on the ground and cargo handling on production lines.
the forklift can accurately stack empty pallets to a certain height.
the forklift can autonomously allocate loading and unloading positions based on the recognition of warehouse rack occupancy and pallet status.
the forklift can automatically adjust the angle and orientation of the forks based on secondary positioning sensor data to align with the pallet.
it has cargo positioning detection during the cargo picking process, ensuring that the forks are inserted into the pallet correctly.
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.
the forks can avoid obstacles on the path when picking up pallets.
equipped with manual and autonomous navigation modes, both of which can be switched at any time.
utilizes multiple sensor fusion methods, including lidar, rtk, inertial navigation equipment, to achieve positioning and navigation functions.
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.
multiple multi-line radars provide 360-degree omnidirectional coverage; front collision avoidance sensors; sound and light-assisted intuitive and reliable warnings.
supports the simultaneous scheduling of multiple towing vehicles or logistics robots; supports human-machine interaction on multiple platforms (tablet, pc, in-vehicle terminal).
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.
maintains high repeatability in positioning accuracy in complex and changing environments, both indoors and outdoors.
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 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.