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Towing AMR:WD500QR

INS + QR Code Navigation + 500kg Load
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Basic

parameters


NameLatent Towing Mobile Robot-WD500QR
ModelWD500QR

Navigation mode

INS + QR code

Drive mode

Double wheel differential

Dimension(L*W*H)

1000*580*300mm(without bumper strip)

Maximum payload

500KG

Network

Ethernet / Wi-Fi 802.11 a/b/g/n/ac

Ambient temperature and humidity range

Temperature : 0~50℃ / Humidity: 10~90%, 

No compression condensation

IP rating[1]

IP20

Performance

Passability (slope/step/gap) [2]

≤5%/5mm/30mm

Navigation position accuracy [3]

±10mm

Navigation angle accuracy [3]

±1°

Operation speed

(full load/no-load)

1.2m/s; 0.8m/s

Battery

Battery specifications

48V/40Ah/30Ah  

Lithium iron phosphate

Endurance time

≥8h

Charging time (10-80%)

≤1-2h

Charging mode

Manual/Automatic charging

Battery life

1500 cycles,capacity>80%

Safety protection

LiDAR SLAM number

1 or 2

Cargo detection

×

Emergency stop button

Speaker

Ambient light

Bumper strip

Basic functions[4]

Wi-Fi roaming

Automatic charging

Shelf recognition

Follow-up function

×

QR code accurate positioning

optional

[1]. Designed for indoor transport, not recommended for outdoor environments.

[2]. Road surface is smooth, clean and without significant undulations. Slope 5% = arctan(0.05) ≈ 2.8°. The robot may not stop or turn at ramps, steps, or gaps, but may only pass quickly perpendicular to them.

[3]. Navigation accuracy usually refers to the repeated accuracy of the robot navigation to the target site. When the environment scanned by the robot LiDAR is relatively stable (change rate <30%), the repeated accuracy of the robot navigation from the fixed direction to the target site can reach the expected value. When the robot runs along the virtual path, it will try to fit the path, but it does not guarantee repeatability. That is, the robot can guarantee the accuracy of the point, without guaranteeing the accuracy of the navigation path. The minimum site spacing supported by the robot is 1cm.

[4]. The basic functions include map editing, model editing, positioning and navigation, basic motion model (differential), API interface, etc.

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