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Under Drive lifting AMR:W300J

INS + LiDAR SLAM Navigation +300kg load
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Basic parameters

Name

Description

Model

W300J

Navigation

LiDAR SLAM

Drive mode

Differential wheel

L*W*H

760*545*250mm(exclude the bumper)

Max payload

300kg

Chassis ground clearance

25mm

Maximum lifting height

60

Lifting time

4±0.5s

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 parameters

Passability (slope/step/gap)[2]

≤5%/5mm/30mm

Navigation position accuracy[3]

±5mm

Navigation angle accuracy[3]

±0.5°

Navigation speed

≥1.5m/s

Battery parameters

Battery specifications

48V30AH Lithium iron phosphate

Endurance

8h

Charging time(10-80%)

≤1h

Charging mode

Manual/Automatic/Quick change

 

Cycle time

>1500

Safety protection

Laser number

2

Cargo detection

×

E-stop button

Speaker

Atmosphere light

Bumper strip

Function

Basic functions[4]

Wi-Fi roaming

Automatic charging[5]

Shelf recognition

Spin[6]

 

[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]. The navigation accuracy usually refers to the repeatability of the robot navigation to the target site, and the robot can achieve the expected value of repeatability of the robot navigation from a fixed direction to the target site under the condition that the environment scanned by the robot's LIDAR is relatively stable (change rate < 30%). When the robot runs along the virtual path, it tries to fit the path as closely as possible, but repeatability is not guaranteed. That is, the robot can guarantee to-point accuracy without guaranteeing navigation path-fitting accuracy. The minimum site spacing supported by the robot is 1 cm, so the robot cannot be used as a linear guide.

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

[5]. It is necessary to use it with Wellwit’s automatic charging pile.


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