Indoor Portable Unmanned Forklift LXT20-C
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  • Indoor Portable Unmanned Forklift LXT20-C

Indoor Portable Unmanned Forklift LXT20-C

LXT20-C is an indoor autonomous forklift that uses multi-line laser radar 3D SLAM technology for natural navigation.


Function:

Autonomous handling, intelligent loading and stacking, automatic/manual mode switching.

Key words:

Yuanqiu New Energy


Product Parameters Product advantages Laser radar 3D SLAM technology Full range of 3D security protection High-precision pallet identification and positioning Intelligent material cage stacking
Vehicle dimensions (L*W*H)1940*1007*2260mmVoltage and capacity24V/205Ah
Load capacity2TMaximum speed (loaded/unloaded)1.4/1.5 km/h
Turning radius1785mmWalking accuracy error±20 mm
Fork dimensions (L*W*H)1150*170*55mmStopping accuracy error±10 mm
Lifting height110cmMaximum climbing ability (loaded/unloaded)
Charging methodManual/automatic rechargeNavigation method3D SLAM natural navigation
Charging duration<2hCommunication methodWireless LAN/supports 5G
Continuous working duration6-8hWalking functionForward/Backward/Turning

 

Using multi-line laser radar as the core sensor for 3D scanning, the environmental information is rich, and there is no need to modify the on-site environment and existing business processes. This enables high-precision 3D scene map construction, matching positioning, path planning, and other functions. The matching positioning is stable and adapts to scenes with high dynamic change rates, suitable for various indoor and outdoor environments.

 

 

The 3D SLAM unmanned forklift series uses the Laser Technology 128-line high-precision hybrid solid-state LiDAR to accurately identify pallets, achieving millimeter-level precision. It is suitable for various indoor and outdoor scenarios, capable of accurately identifying pallets day and night, ensuring fault-free operation in all weather and all scenarios.


Functional Features

Point Cloud Recognition:Independently developed deep learning laser point cloud recognition technology, automatically identifying pallet positions.

Offset Tolerance:Allows manual placement of pallets with a left-right offset of 10cm, a front-back offset of 10cm, and an angular offset error range of 10°.

Accurate Calibration:Effectively avoids cumulative errors in pallet positions at pickup points using traditional technology.

 

The 3D SLAM unmanned forklift is equipped with a Winleader 128-line hybrid solid-state LiDAR, specifically designed to identify various types and sizes of material cages. Through fine feature extraction and pose calculation, combined with high-precision 3D SLAM positioning technology, the unmanned forklift can autonomously navigate to the target location and accurately complete the stacking task of material cages, which not only improves operational efficiency but also ensures the safety and stability of the entire operation process.


Functional Features

Multi-layer high stacking, accurate and stable:The Raytheon intelligent 3D SLAM unmanned forklift has accurate perception and positioning capabilities, supporting stacking of up to 4 layers of material cages, ensuring the accuracy and stability of the stacking.

Applicable to indoor and outdoor scenarios, all-weather operation:Equipped with a 128-line high-precision 3D LiDAR solution, suitable for various indoor and outdoor scenarios, capable of stable and efficient operation both day and night.

Ultra-high local control accuracy:Stacking accuracy is extremely high, with error control within 5mm, ensuring the accuracy of each stacking.

Intelligent AI anomaly detection, safe and efficient:Using intelligent AI anomaly detection algorithms, it monitors the position and angle of the forklift and material cages in real-time, making fine adjustments. If unstable stacking is detected, the system will immediately trigger a safety mechanism, guiding the forklift to recalibrate without needing to exit, ensuring operational safety with high efficiency.

 

Application Scenarios

Flying wing vehicle unmanned loading and unloading

Flying wing vehicle unmanned loading and unloading

Cross-floor transportation

Cross-floor transportation

Multi-layer material cage stacking

Multi-layer material cage stacking

Docking drive-in shelves

Docking drive-in shelves

Multi-vehicle collaboration

Multi-vehicle collaboration

Connecting the roller conveyor

Connecting the roller conveyor

Docking with the warehouse

Docking with the warehouse

High-level access

High-level access

Docking the stacking machine

Docking the stacking machine

Connecting with unmanned logistics vehicles

Connecting with unmanned logistics vehicles

Factory area vehicle-road collaboration

Factory area vehicle-road collaboration

Outdoor work

Outdoor work

Application Industry

Automotive electronics industry

Automotive electronics industry

Battery swapping industry

Battery swapping industry

Cold chain industry

Cold chain industry

Leather manufacturing

Leather manufacturing

Sugar industry

Sugar industry

Electronic components industry

Electronic components industry

Electrical machinery manufacturing industry

Electrical machinery manufacturing industry

3C electronics industry

3C electronics industry

Papermaking industry

Papermaking industry

Daily chemical industry

Daily chemical industry

Electrical appliance manufacturing industry

Electrical appliance manufacturing industry

Electronics industry

Electronics industry

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