Product Description
Lifting AMR
Born for truly flexible intelligent manufacturing
Simple and easy to use | Safe and reliable | Flexible and adaptable

Laser SLAM/QR code Reflector fusion navigation method | Chassis weight: 150-500KG | ±5mm repeatability |

| 25mm ground clearance | 1340mm rotation diameter | ≥8 hours of working time |
Robot + self-developed software integration
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Zero-code programming Zero-code deployment Unified platform debugging High system integration Process flow / Edge control language Robots / Composite robots / External devices / IO / Sensors | FAPS Intelligent Scheduling System Based on the Fuwei AI-ICDP platform, this advanced scheduling system combines supply chain management and constraint theory. It simultaneously considers the constraints of multiple limited resources and, based on various preset rules, ultimately uses complex intelligent algorithms... | Data visualization software ForwardVisual is a data visualization software that integrates data interface configuration management, data visualization, and other functions, and provides various graphical components. Users can generate digital dashboards that meet their needs simply by dragging and dropping various graphical components without writing any code. |
Independently developed ride-sharing system with pre-order acceptance and order-combining functions.
This increases utilization by at least 20% compared to traditional methods, eliminating "empty load anxiety."
Significantly improves equipment utilization.
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Step 1 Analyze requirements, clarifying basic issues such as robot type, quantity, and navigation. | Step 4 Complete one-stop deployment of the scenario using Roboshop Pro. |
Step 2 Edit Tianfeng tasks and online scripts in RDS to implement business needs. | Step 5 Integrate with RDS to conduct system networking and device integration testing. |
Step 3 Conduct simulation testing using the customized portion of RDS. The non-customized portion is ready to use out of the box. | Step 6 The project has been successfully implemented. The robot is operating normally, and the RDS system is monitoring it in real time. |
Application

automated changeover systems in connector production lines | biological laboratories | the 3C electronics industry |

| lifting robots in the home appliance industry | roller transfer robots in the photovoltaic industry | loading and unloading robots in the automotive industry |

| CNC Industry Applications | New Energy Industry Applications | Machining Industry Applications |

| Semiconductor industry | Injection molding industry | Hydrogen energy industry |
Product Features
Automatic obstacle avoidance path planning
It can automatically plan the optimal path based on the work scenario, without relying on a fixed track system.
ForwardControl software
achieves integrated control and multi-task planning. Through intelligent task planning and scheduling, it can efficiently complete various different tasks, thereby improving production efficiency.
FRDS Intelligent Scheduling
Based on the Fuwei AI-ICDP platform, it easily
achieves collaborative planning and intelligent scheduling between various units on the production line.
High-precision operation capability
Up to ±0.2mm, it can be applied to work fields with high precision requirements, improving product quality and production efficiency.
Product parameters
| Item | Specification | Item | Specification |
| Model | FW600SL | Battery Capacity (Lithium Battery) | DC48V / 30Ah |
| Product Name | Lifting AMR | Overall Endurance | 8 h |
| Overall Dimensions (mm) | 880 × 680 × 295 | Charging Time (10–80%) | ≤ 2 h |
| Total Load Capacity (kg) | 500 | 3D Obstacle Avoidance Function | Laser radar obstacle avoidance / Contact-type anti-collision optional |
| Movement Method | / | Navigation Method | Laser SLAM navigation |
| Docking Height (mm) | / | Communication Method | WiFi / 5G |
| Lifting Stroke (mm) | 60 | Automatic Charging Function | Optional |
| Drive Method | Differential drive / Mecanum wheels / Dual-wheel drive | Automatic Rest / Sleep Wake-up Function | Optional |
| Material Position Detection | / |














