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Basic parameters | Name | Under Drive Lifting Mobile Robot-W3-1000B |
Navigation mode | LiDAR SLAM+QR code | |
Drive mode | Double wheel differential | |
Dimension(L*W*H) | 954mm*650mm*250mm （with bumper strip） | |
Weight （with batteries） | 220KG（±10KG） | |
Maximum payload | 1000KG | |
Chassis ground clearance | 25mm | |
Maximum lifting height | 60±2mm | |
Lifting time | 5±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] | ±1° | |
Max speed (Adjustable) | ≤1.5m/s | |
Battery parameters | Battery capacity | 48V/27AH Lithium iron phosphate |
Comprehensive battery life | 8H | |
Charging time（10-80%） | ≤2h | |
Charging mode | Manual/Automatic | |
Cycle times | 1500 cycles，capacity＞80% | |
Safety protection | LiDAR SLAM number | 2 |
E-stop button | √ | |
Speaker | √ | |
Ambient light | √ | |
Bumper strip | √ | |
Function | Basic functions[4] | √ |
Wi-Fi roaming | √ | |
Automatic charging | √ | |
Shelf recognition function | √ | |
Follow-up function | √ | |
QR code accurate positioning function | 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.
Basic parameters | Name | Under Drive Lifting Mobile Robot-W3-1000B |
Navigation mode | LiDAR SLAM+QR code | |
Drive mode | Double wheel differential | |
Dimension(L*W*H) | 954mm*650mm*250mm （with bumper strip） | |
Weight （with batteries） | 220KG（±10KG） | |
Maximum payload | 1000KG | |
Chassis ground clearance | 25mm | |
Maximum lifting height | 60±2mm | |
Lifting time | 5±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] | ±1° | |
Max speed (Adjustable) | ≤1.5m/s | |
Battery parameters | Battery capacity | 48V/27AH Lithium iron phosphate |
Comprehensive battery life | 8H | |
Charging time（10-80%） | ≤2h | |
Charging mode | Manual/Automatic | |
Cycle times | 1500 cycles，capacity＞80% | |
Safety protection | LiDAR SLAM number | 2 |
E-stop button | √ | |
Speaker | √ | |
Ambient light | √ | |
Bumper strip | √ | |
Function | Basic functions[4] | √ |
Wi-Fi roaming | √ | |
Automatic charging | √ | |
Shelf recognition function | √ | |
Follow-up function | √ | |
QR code accurate positioning function | 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.
