Its controller is built into the base, and it works with a Python API, a TCP/IP text API, EtherCAT, EtherNet/IP and PROFINET. It is an industrial arm for use inside a guarded cell, not a cobot.
Mecademic Meca500 6-Axis Industrial Robot Arm
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The Mecademic Meca500 is a compact 6-axis industrial robot arm with a 0.5 kg rated payload, 330 mm reach and ±0.005 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.
Industrial
Class
0.5 kg
Payload
330 mm
Reach
6
Axes (degrees of freedom)
±0.005 mm
Repeatability
Readout through the API
Joint torque sensing
Specifications
Performance
- Class
- Industrial
- Payload
- 0.5 kg
- Reach
- 330 mm
- Axes (degrees of freedom)
- 6
- Repeatability
- ±0.005 mm
Mechanical
- Weight
- 4.6 kg
Integration
- Controller
- Embedded in the base
- Cartesian control (built-in IK)
- Yes
- SDK and interfaces
- Python, TCP/IP text API, EtherCAT, EtherNet/IP, PROFINET
- Simulation
- RoboDK, Visual Components
- Joint torque sensing
- Readout through the API
- Wrist force/torque sensor
- Optional Bota Systems MiniONE Pro
- Grippers
- MEGP 25E, MEGP 25LS, MPM500 pneumatic module
Safety
- Collision detection
- Torque-limit detection
- Emergency stop
- Button on the PS200 power supply
- Safety certification
- CE (EU Declaration of Incorporation)
Specifications and photos are the maker’s published data. Download the datasheet (PDF).
Made by
Mecademic
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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