ZENS-300UL, ZENS-600UL series Pallet Truck AGV, using self-developed laser SLAM navigation and vision, inertial navigation and other multi-sensor fusion technology, motion control, positioning, obstacle avoidance and obstacle avoidance algorithms, and core controllers, intelligent scheduling system FMS, etc. software and hardware.
The deployment of Pallet Truck AGV can be completed without on-site fixed infrastructure modification.
Parameter of Pallet Truck AGV
Category | 300KG | 600KG | Remark | |
Basic performance | Demension (L*W*H mm) | 850*605*290 | 995*690*290 | Dimension tolerance ±2mm |
Load surface size (L*W mm) | 815*560 | 952*650 | Dimension tolerance ±2mm | |
Weight (kg) | 100 | 175 | Mobile robot | |
Maximum load (kg) | 300 | 600 | Including vehicle weight | |
Moving performance | performance (m/s) | 1.75 | 1.5 | |
Working speed (m/s) | Forward 1.0; backward 0.3 | |||
Turning radius (mm) | 0 | |||
Radius of gyration (mm) | 484 | 568 | ||
Gradeability | 3°/5% | |||
Obstacle crossing height (mm) | 10 | |||
Over seam width (mm) | 30 | |||
Ground clearance (mm) | 25 | |||
Width of walking channel (mm) | Min700 | Min890 | ||
Revolving channel width (mm) | Min1130 | Min1300 | ||
Station positioning accuracy (mm) | ±10 | |||
Precision docking accuracy (mm) | ±5 | |||
Battery life | Endurance performance Battery capacity | 51.2v 30Ah | 51.2v 40Ah | Lithium iron phosphate battery |
Endurance time (h) | 8 | 1m/s at full load | ||
Battery life (times) | 1500 (DOD≥80%) | 0.5Ccharge; 1Cdischarge (normal temperature) | ||
Charging method | Automatic/ manual/ battery quick | Change manual: maximum current 10A | ||
Charging time (h) | 1 | 3 | Automatic charging pile charging | |
External interface | Power output port | 2 channels DC 51.2V 1000W (40-57.6) | Charged to 95% | |
Standard communication interface | One RS232 One CAN | |||
I/O interface | Supports CAN communication expansion | |||
Features of Pallet Truck AGV
Navigation function:
using a human-computer intelligent interaction system to plan the shortest path according to the established map to realize the autonomous learning and navigation of the AGV.
Virtual road planning:
The user can plan the robot's movement trajectory by drawing a line, so that the robot can follow the specified route.
Map restricted Edit:
Provide map editing software, users can set up and save operating environment restricted the robot.
About us:
Our company focuses on research and development of mobile robot. The R&D team consists of members who experienced in field of robot, embedded hardware, software, algorithms,artificial intelligence, etc.
Currently, products for sale including moving robot, sorting robot, Auto-forklift, etc. Navigation method we provide including QRcode navigation, LiDAR SLAM navigation, Visual SLAM Navigation.
We focus on providing custom logistic robots for the integrators who focus on Intelligent Logistics and Intelligent Factory, and provide AGV&AMR with ODM/OEM service for global clients.
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