Built Robotics Inc. Built Robotics RPD 35vsFranka Robotics Franka Research 3
Side-by-side comparison of Built Robotics Inc. Built Robotics RPD 35 and Franka Robotics Franka Research 3: specs, price, use cases and SDKs.

Built Robotics RPD 35
Automates pile driving for utility-scale solar farms.

Franka Research 3
Research-grade 7-DoF arm with torque sensing
Specifications
| Spec | Built Robotics RPD 35 | Franka Research 3 |
|---|---|---|
| Price (USD) | $0 | $19,900 |
| Category | industrial | industrial |
| Payload | 9979 kg | 3 kg |
| Runtime | 24 h | — |
| Speed | 1.3 m/s | — |
| Weight | 65317 kg | — |
| Reach | 10.64 m | 855mm |
| Degrees of Freedom | 4 | 7 |
| Battery | Diesel | — |
- Solar farm construction
- Pile driving
- Autonomous excavation
- Research
- Imitation learning
- Haptics
When to pick which
Select the Built Robotics RPD 35 for utility-scale renewable energy projects requiring heavy-duty infrastructure installation. This 65-ton autonomous machine is specifically engineered for high-volume pile driving on solar farms, where its 10.64m reach and massive 9,979kg payload capacity are essential for handling structural steel. Unlike a lab arm, its diesel powertrain supports 24-hour continuous operation in rugged, off-grid environments. It is the primary choice for civil engineering firms and energy contractors looking to automate the labor-intensive process of foundation laying across vast geographic areas where human labor is scarce or expensive.
Opt for the Franka Robotics Franka Research 3 when conducting high-fidelity manipulation experiments in academic or corporate R&D settings. Its 7 degrees of freedom and integrated torque sensing allow for sophisticated haptic feedback and imitation learning tasks that require human-like dexterity. With a compact 855mm reach and 3kg payload, it is designed for tabletop precision rather than heavy construction. Developers should choose this platform for its extensive software ecosystem, including libfranka and ROS2, which facilitates rapid prototyping of control algorithms. It is the ideal tool for researchers focused on safe human-robot collaboration and fine-motor skill acquisition.
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