Product Dimension
Product Specification
| Basic parameters | Name | Autonomous Forklift-WMF1000-CDD05 |
| Navigation mode | LiDAR SLAM | |
| Drive mode | Steering Wheel Drive | |
| Forklift dimensions: L * W * H | 1484*1067*1997 mm | |
| Weight （with batteries） | 680KG（±10KG） | |
| Maximum payload | 500 kg | |
| Chassis ground clearance | 31.5mm | |
| Standard lifting height | 500mm | |
| Fork dimensions: L *W | 900 * 300 mm/Customized | |
| Pallet type | Tote dolly / shelf | |
| Network | Ethernet / Wi-Fi 802.11 a/b/g/n/ac | |
| Ambient temperature and humidity range | TEMP: 0°C to 50°C / RH: 10% to 90%, no compression, no condensation | |
| IP rating [1] | IP20 | |
| Performance parameters | Passability (slope/step/gap) [2] | ＜5% / 2 mm / 5 mm |
| Navigation position accuracy[3] | ±10 mm | |
| Navigation angle accuracy[3] | ±1° | |
| Operation speed (Adjustable) | ≤1.4m/s | |
| Battery parameters | Battery specifications | 24V / 210Ah (Lithium iron phosphate) |
| Comprehensive battery life | 8h | |
| Charging time (10% to 80%) | ≤2h | |
| Charging mode | Manual/Automatic charging | |
| Battery cycle times | 1500 cycles，capacity≥80% | |
| Function configurations | Lidar number | 3(SICK Nanoscan3)+1(SICK TIM781) |
| Basic functions [4] | √ | |
| Wi-Fi roaming | √ | |
| 3D obstacle avoidance | Optional | |
| Pallet recognition | Optional | |
| HMI display | √ | |
| Safety configurations | E-stop button | √ |
| Sound and light indicator | √ | |
| Braking distance: 1 m/s / 1.5 m/s | ≤30cm / ≤50cm | |
| 360° laser protection | √ | |
| Bumper strip | √ | |
| Fork height protection | √ |
[1]. Designed for indoor transport, not recommended for outdoor environments.
[2]. Road surface is smooth, clean and without significant undulations. Slope 3% = 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.
