OpenArm vs Franka Panda: Which Robot Arm Should You Choose?
Two of the most widely used robot arms in research labs and AI training programs — but they serve different purposes at very different price points. Here is how to decide which one fits your project.
Specs Side by Side
The OpenArm is a 6-DOF open-source manipulator designed from the ground up for data collection and imitation learning workflows. It weighs approximately 4 kg, reaches 600 mm, and has a payload of 1.5 kg. Each joint uses high-resolution encoders and back-drivable actuators, making it ideal for kinesthetic demonstration and teleoperation. Total cost of a complete OpenArm system including gripper is well under $5,000.
The Franka Panda (now sold as Franka Research 3) is a 7-DOF torque-controlled arm with 855 mm reach and 3 kg payload. It has built-in joint torque sensing at every joint, an extensive ROS integration, and has been used in hundreds of academic papers since its launch. A complete Franka system with controller typically runs $20,000–$25,000 USD. Both arms are available through SVRC — see our comparison tool for a live spec table.
Ecosystem and Software
Franka has one of the deepest software ecosystems of any research arm. The libfranka C++ interface, frank_ros, and Franka ROS 2 packages are well-maintained and heavily documented. There are hundreds of academic codebases that assume a Franka arm, and most major imitation learning frameworks — ACT, Diffusion Policy, TDMPC — ship Franka-specific environment wrappers. If you are replicating published work or collaborating with teams who already use Franka, this matters enormously.
OpenArm's ecosystem is newer but growing fast. SVRC ships OpenArm-compatible export pipelines in its data platform, and LeRobot has added native OpenArm support. Because OpenArm is open hardware, the community can — and does — extend it freely. ROS 2 support, MuJoCo simulation models, and teleoperation interfaces are all available. For teams building their own stack from scratch rather than reproducing existing baselines, OpenArm is often the faster path.
Price and Total Cost of Ownership
The price gap between OpenArm and Franka is substantial — roughly 4–5x depending on configuration. For a single-arm lab setup, that difference is meaningful. For teams deploying ten or more arms for large-scale data collection, it becomes decisive: ten OpenArm stations cost less than two Franka stations.
Total cost of ownership also includes maintenance and replacement parts. OpenArm's open-source design means most mechanical components can be sourced or printed locally. Franka repairs require factory return or certified service, which adds lead time and cost. For high-throughput data collection campaigns, OpenArm's serviceability is a real operational advantage.
Use Cases Where Each Wins
Franka wins when: you are replicating published research that uses Franka, you need 7-DOF workspace coverage for complex manipulation, you require certified joint torque sensing for contact-rich or compliant assembly tasks, or your team is primarily writing controllers rather than collecting training data.
OpenArm wins when: you are building a large-scale imitation learning dataset, cost matters because you need multiple arms, you want to iterate on hardware configuration freely, your primary workflow is teleoperation and demonstration collection, or you are running an educational or startup program with a limited budget.
Verdict Table
For most teams focused on robot learning and data collection in 2026, OpenArm is the pragmatic choice. It is purpose-built for the workflows that actually produce useful training data, costs a fraction of the Franka, and is well-supported by SVRC's data services platform. Choose Franka when you need compatibility with an existing codebase, the extra reach and DOF, or certified torque sensing for precision manipulation research. Both platforms are available for direct purchase and for lease through SVRC — start with our platform comparison page or contact a solutions engineer to discuss your specific use case.