Compare
Reachy Mini vs XMAN-R1
Quick verdict
Reachy Mini leads on 6 of 10 comparable rows
Reachy Mini leads on Readiness Score, Reality Score, Battery, and Price (+2 more). XMAN-R1 leads on Mobility, Manipulation, Autonomy, and Home Navigation.
Who should choose which?

Choose Reachy Mini if…
- You want higher readiness (91/100 vs peers) for near-term home use.
- Verified shipping and public proof matter more to you (reality score 89/100).
- Budget is a priority and Reachy Mini lists lower ($299+).
- You need a buy now path today while alternatives are still prototype or coming soon.
- Your main goal is education, which Reachy Mini targets directly.

Choose XMAN-R1 if…
- Your main goal is conversation, which XMAN-R1 targets directly.
- Strengths like social interaction and perception match how you plan to use it at home.
- You prefer a humanoid form factor over the alternatives in this compare.
| Spec | ![]() Reachy Mini Pollen RoboticsLeads 6 | ![]() XMAN-R1 KEENON RoboticsLeads 4 |
|---|---|---|
| Performance | ||
| Readiness Score | 91 | 76 |
| Reality Score | 89 | 72 |
| Data Freshness | 100% | 100% |
| Speed | Unknown | 2.9 km/h |
| Payload | Unknown | 3 kg |
| Specs | ||
| Height | 28 cm | 172 cm |
| Weight | 1.5 kg | 110 kg |
| Battery | 2–4 h | 3 h |
| Form | Desktop | Humanoid |
| Availability | ||
| Price | $299+ | $100,000+ |
| Market Status | Buy Now | Limited |
| Availability | Available | Limited |
| Countries | United States, France, Global (direct order) | China, United States |
| Intelligence | ||
| Mobility | 28 | 74 |
| Manipulation | 5 | 70 |
| Perception | 85 | 84 |
| Autonomy | 76 | 78 |
| Social Interaction | 90 | 90 |
| Home Navigation | 8 | 52 |
| Sensors | 120° 12MP camera (Sony IMX708), 4× PDM mic array (XMOS XVF3800), IMU (wireless only) | Multimodal fusion perception, spatial awareness, human-interaction sensing (fleet coordination stack) |
| Connectivity | Wi-Fi 2.4/5 GHz + USB (wireless); USB-C to computer (Lite) | Wi-Fi, KEENON cloud fleet platform |
| Ecosystem | Python SDK and web dashboard; Hugging Face Spaces app store; MuJoCo simulation; LeRobot / Hugging Face model hub; Conversation, hand-tracker, and radio apps at launch; Discord maker community | KOM2.0 vision-language-action stack; KEENON ProS hotel domain models; Multi-robot fleet coordination with DINERBOT, KLEENBOT, BUTLERBOT, S100; KEENON App and Cloud Platform |
Green cells mark the stronger value in each row across 2 robots.

