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    Heavy-duty Pallet Forklift Mobile Robot with 96V Auto-Recharge System

    Heavy-duty Pallet Forklift Mobile Robot with 96V Auto-Recharge System

    Heavy-duty Pallet 8T High-Bay Racking Warehouse Manufacturer
    • Product Introduction
    • Product Parameters

    Equipped with 3D LiDAR SLAM for precise navigation. Compact design reduces aisle width and boosts storage capacity. Supports 8–10T loads with smooth, powerful three-point drive. 96V system enables energy-saving and auto-recharging. Features multi-layer safety, 3D pallet recognition, Wi-Fi roaming, and racking adaptability.

    Features

    • Precise Navigation: 3D laser SLAM for accurate positioning
    • Space & Load Optimization: Compact design minimizes aisle width; 8-ton load capacity
    • Efficient Performance: 96V energy-saving system with auto-recharging; three-point single-wheel drive for smooth movement
    • Safe & Intelligent Handling: Multi-layer safety protection and 3D pallet recognition for secure cargo operations
    • Strong Adaptability: Wi-Fi roaming and compatibility with high-bay racking systems
    TECHNICAL PARAMETERS                                                                                                            ●Standard    O  Optional    -Not available
    Basic

    Parameters
    Model No. X3-PS80 X3-PS80-CG1200 X3-PS100 X3-PS100-CG800
    Load Capacity kg 8000  8000  10000  10000 
    Load Center Distance c(mm) 600  600  400  400 
    Weight(incl.battery) kg 5800  7350  3750  3700 
    Fork L×W×H 16*e*s(mm) 1200*175*80 1200/310 800*175*80 800/310
    Fork Outside Spacing b5(mm) 400-1030   400-1030
    Fork Inside Spacing b4(mm) 50-680   50-680
    Fork Tilt Angle(Down/Up) a/β(°) - - -
    Max.Lifting Height h2(mm) 1500  1500  1500  1500 
    Mast Lowered Height h1(mm) 2628  2628  2628  2628 
    Max.Height During Operation   2628  2628  2628  2628 
    Max.Vehicle Height h1'(mm) 2772  2772  2772  2772 
    Overall Length (incl.forks) 1(mm) 2470  2400  2200  2200 
    Body Width b1(mm) 1720  1720  1720  1720 
    Min.Ground Clearance m2(mm) 35  35  35  35 
    Min.Turning Radius Wa(mm) 1990  1990  1990  1990 
    Number of Wheels,Front/Rear(X=Drive Wheel)   1x/2 1x/2 1x/2 1x/2
    Tire Material   Polyurethane Polyurethane Polyurethane Polyurethane
    Min.Safety Distance a(mm) 200  200  200  200 
    Aisle Width(800×1200 across fork,spin turn,mm) Ast(mm) -   3055  3055 
    Aisle Width(1200×1200,spin turn,mm)   3055  3055  - -
    Aisle Width(800×1200 across fork,R1500,mm)   - 3279  3279 
    Aisle Width(1200×1200,R1500,mm)   3550  3470  - -
    Charging Height mm 428  428  428  428 
    Motion

    Performance
    Drive Type   Steering Wheel Steering Wheel Steering Wheel Steering Wheel
    Movement Mode   Forward/Backward,Cur ved Turning,Spot Rotatio n
    Travel Speed (Loaded/Unloaded) m/s 1/2 1/2 1/2 1/2
    Max.Gradeability  (Loaded/Unloaded) % 5/8 5/8 5/8 5/8
    Positioning Accuracyuracy mm ±5 ±5 ±5 ±5
    Angle Accuracy   ±1 ±1 ±1 ±1
    Lifting Speed (Loaded/Unloaded) mm/s 110/180 110/180 110/180 110/180
    Lowering Speed(Loaded/Unloaded) mm/s Adjustable Ratio Adjustable Ratio Adjustable Ratio Adjustable Ratio
    Lifting Height Accuracy mm ±5 ±5 ±5 ±5
    Wired Encoder  
    Cylinder End Buffer  
    Electronic Soft Lift/Lower  
    Battery
    Performance
    Rated Voltageoltage V 96  96  96  96 
    Battery Capacityacity Ah 302  302  302  302 
    Battery Low-temp Heating  
    Charging Cycles   Full Charge and Discharge≥3000 Times
    Operating Time(Rated Condition) h 6-8 6-8 6-8 6-8
    Charging Time(15-90%) h  
    Charging Mode   Side Charging Side Charging Side Charging Side Charging
    Safety
    Protection
    Front Single Laser Obstacle Detection     - - -
    Front Dual Laser Obstacle Detection  
    Cargo Placement Detection  
    Pallet Identification  
    Weighing Module  
    Driving Recorder  
    Safety Bumper Detection  
    Pallet In-position Detection  
    Fork Tip Photoelectric Detection  
    Top Anti-collision  
    Left/Right E-stop  
    Tri-color Light &Buzzer  
    Others 2D Laser SLAM Navigation  
    3D Laser SLAM Navigation  
    Visual SLAM Hybrid Navigation  
    10"Display  
    Steering Wheel Operation   -   -  
    Wired Controller  
    Mobile APP  
    RFID Reader  
    Working Noise dB ≤75 ≤75 ≤75 ≤75
    The above data is sourced from the results obtained through testing by the XGEN Robot Test Team.

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    FAQs

    • What Is FMR?

      FMR stands for Forklift Mobile Robot, which is a type of forklift-style mobile handling robot primarily used for automatic material handling and storage within warehouses.
    • What Handling Or Storage Scenarios Is FMR Suitable For?

      FMR is primarily suitable for common handling and storage scenarios in warehouses, including flat transport, production line connection, cross-floor transportation, and high-level storage.
    • How Much Weight Can FMR Carry, And How High Can It Lift?

      In past project cases of XGEN, the actual implemented maximum load was 30T, and the maximum lifting height was 13.5M.
    • What Are The Advantages Of ASRS Compared To A Traditional Warehouse?

      Compared to traditional warehouses, ASRS have the following advantages: High Space Utilization ASRS makes full use of vertical space with multi-layer shelving and automation equipment, significantly improving storage density and reducing the footprint. High Automation ASRS uses automated equipment such as stackers and conveyor systems, reducing manual labor and increasing operational efficiency and accuracy. Accurate Inventory Management With the use of WMS, ASRS can monitor inventory in real-time, optimizing stock management and reducing overstocking and stockouts. High Operational Efficiency Automated equipment can quickly complete the storage, retrieval, and handling of goods, shortening processing times and improving overall efficiency. Enhanced Safety Automation reduces manual operations, lowering accident risks. Additionally, the system has monitoring and alarm functions that further enhance warehouse safety. Cost Savings Although initial investments may be high, ASRS can significantly reduce operational costs in the long run by reducing labor, improving space utilization, and increasing operational efficiency. Strong Scalability ASRS has a modular design, making it easier to expand or adjust according to changing needs. Environment-friendly Automated equipment reduces energy consumption and carbon emissions, aligning with green and environmental standards.In summary, ASRS outperforms traditional warehouses in space utilization, automation, inventory management, operational efficiency, safety, cost savings, scalability, and environmental friendliness, making them well-suited for modern logistics needs.
    • Can ASRS Be Digitally Managed?

      Yes, ASRS can be digitally managed. Digital management is one of the core advantages of ASRS and is achieved primarily through the following methods: 1. Warehouse Management System (WMS) WMS is the core of digital management in ASRS, enabling real-time inventory monitoring, optimizing storage, managing orders, and processing data to enhance overall operational efficiency. 2. Automation Equipment Integration The automated equipment in ASRS (such as stackers and conveyor systems) is seamlessly connected with the WMS, enabling full-process automation from inbound to outbound operations, reducing manual intervention. 3. Internet of Things (IoT) Technology Through sensors and RFID technology, ASRS can monitor the location, status, and environmental conditions of goods in real-time, ensuring the accuracy and timeliness of inventory data. 4. Data Analysis and Optimization Digital management collects vast amounts of operational data, which is then analyzed to optimize inventory, predict demand, and improve processes, thus increasing warehouse efficiency and reducing costs. 5. Cloud Computing and Big Data Cloud computing and big data technologies support the digital management of ASRS by providing powerful data storage, processing, and analysis capabilities, enabling remote monitoring and management. 6. Artificial Intelligence (AI) and Machine Learning AI and machine learning technologies can be applied to demand forecasting, route optimization, and inventory management, further enhancing the intelligence of the warehouse. 7. Visualization and Real-Time Monitoring Digital management provides visual interfaces and real-time monitoring features, allowing managers to keep track of warehouse status at any time and address issues promptly.
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