It weighs about 22 kg, is rated IP54 (IP65 optional) and works with an AC or DC control box and teach pendant.
FAIRINO FR5 Collaborative Robot Arm
$7,999.00
The FAIRINO FR5 is a 6-axis collaborative robot arm with a 5 kg rated payload (7 kg maximum), 922 mm reach and ±0.02 mm repeatability.
- Shipping
- Free on every order
- Duties and tariffs
- In the price, nothing extra at checkout
- Minimum order
- 1 unit
- Free shipping On every order.
- No tariffs at checkout Duties are in the price. Nothing to pay on delivery.
- US seller of record US invoices, terms and support.
- Maker's warranty Typically 12 months. Unused items can be returned within 30 days.
Collaborative
Class
5 kg
Payload
922 mm
Reach
6
Axes (degrees of freedom)
±0.02 mm
Repeatability
Joint torque feedback
Joint torque sensing
Specifications
Performance
- Class
- Collaborative
- Payload
- 5 kg
- Reach
- 922 mm
- Axes (degrees of freedom)
- 6
- Repeatability
- ±0.02 mm
- Max tool speed
- 1,000 mm/s
Mechanical
- Weight
- 22 kg
Integration
- Controller
- AC or DC control box and teach pendant
- Cartesian control (built-in IK)
- Yes
- SDK and interfaces
- C#, C++, Python, ROS, ROS 2; TCP/IP, Modbus TCP/RTU; optional CC-Link, Profinet, EtherNet/IP, EtherCAT
- Simulation
- FAIRINO SimMachine
- Joint torque sensing
- Joint torque feedback
- Wrist force/torque sensor
- Third-party 6-axis F/T sensors supported
Safety
- Collision detection
- Yes
- Safety certification
- CE (machinery, EMC); crash-force test certificate
Specifications and photos are the maker’s published data. Download the datasheet (PDF).
Made by
FAIRINO
Typical applications
- Machine tending and lab automation
- Pick and place, kitting and test stations
- Robot learning and teleoperation data collection
- Education and research labs
- Mobile manipulators
Choosing the right one
- Size payload for the gripper, camera and part together, with margin: a 5 kg arm carrying a 1 kg gripper has 4 kg left.
- Rated payload holds at full reach. Most arms carry less when fully extended at full speed.
- Check that the controller takes Cartesian targets and solves the inverse kinematics itself; otherwise you write that math.
- Torque sensors in every joint make force control, collision detection and hand-guiding far better than current-based estimates.
- Try the vendor's simulator or URDF before you buy. A clean Python API and simulator are a good sign of the support you will get later.
- Hobby servo arms (under about $1,000) suit teaching and prototyping, not production duty cycles.
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