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Franka Robotics GmbH Franka Emika PandavsFranka Robotics Franka Research 3

Side-by-side comparison of Franka Robotics GmbH Franka Emika Panda and Franka Robotics Franka Research 3: specs, price, use cases and SDKs.

Specifications

SpecFranka Emika PandaFranka Research 3
Price (USD)
$0
$19,900
Category
industrial
industrial
Payload
3 kg
3 kg
Runtime
null h
Speed
2 m/s
Weight
18 kg
Reach
850 mm
855mm
Degrees of Freedom
7
7
Shared use cases
No shared use cases
Only on Franka Emika Panda
  • Assembly
  • Research and Development
  • Educational and Teaching
  • Human-Robot Interaction
  • Material Handling
  • Dispensing
  • Polishing/Grinding
  • Pick and Place
  • CNC machine tending
Only on Franka Research 3
  • Research
  • Imitation learning
  • Haptics

When to pick which

When to pick Franka Emika Panda

Select the Franka Emika Panda for industrial manufacturing and production-scale deployments, such as CNC machine tending or precision assembly in electronics. Its support for industrial communication protocols like Modbus and OPC UA, alongside specialized software like Desk and RIDE, allows for seamless integration into existing factory ecosystems. While sharing the 3kg payload capacity with the Research 3, the Panda’s broader SDK compatibility makes it the preferred choice for systems integrators who require robust connectivity and diverse application support beyond the laboratory, including material handling and dispensing tasks in high-uptime environments.

When to pick Franka Research 3

Choose the Franka Research 3 for academic institutions and AI development labs focused on cutting-edge fields like imitation learning and haptics. At a transparent $19,900 price point, it offers a cost-effective entry for high-fidelity experimentation. The inclusion of torque sensing across its 7 degrees of freedom, combined with a slightly extended 855mm reach, provides the precision necessary for sensitive tactile research. With dedicated support for franka_ros2, this model is tailored for developers building complex control algorithms or training neural networks where deep software access and granular force feedback data are more critical than industrial fieldbus integration.

AI-generated buyer guidance based on public specs.

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