WidowX vs Franka vs ALOHA
Which robot is best for imitation learning and data collection? A detailed comparison.
How to narrow platforms for your lab
Quick Comparison
| Platform | Cost | DOF | Best For |
|---|---|---|---|
| WidowX 250s | ~$5–8K | 6 | Budget, BridgeData, single-arm |
| Franka Panda | ~$12–15K | 7 | Force control, compliance, research |
| ALOHA (bimanual) | ~$20K | 2×6 | Bimanual, Stanford datasets |
| Mobile ALOHA | ~$32K | Mobile + 2×6 | Whole-body, kitchen, mobile |
WidowX
Pros: Low cost, widely used in BridgeData and Open X-Embodiment. Large community, many pre-trained models. Cons: Single arm, no force sensing. Best for: budget-conscious labs, single-arm manipulation, leveraging existing datasets.
Franka Panda
Pros: 7 DOF, force control, compliance. Common in research labs. Cons: Higher cost, fewer public datasets than WidowX. Best for: contact-rich tasks, compliance, research where force matters.
ALOHA
Pros: Bimanual teleoperation, Stanford datasets, kitchen tasks. Cons: Fixed base, higher cost. Best for: bimanual manipulation, tasks requiring two hands.
Mobile ALOHA
Pros: Whole-body, mobile manipulation, cooking demos. Open source. Cons: Most expensive, complex setup. Best for: mobile manipulation, whole-body tasks.
Need Help Choosing?
We offer same-day pickup in San Francisco for OpenArm, Mobile ALOHA, and more. Data collection services available if you prefer not to operate hardware yourself.
Once you've picked the hardware, the next question is where the training data comes from.