Compare
EMO vs Reachy 2
Quick verdict
EMO leads on 5 of 9 comparable rows
EMO leads on Readiness Score, Reality Score, Price, and Countries (+1 more). Reachy 2 leads on Battery, Perception, Autonomy, and Home Navigation.
Who should choose which?
Choose EMO if…
- You want higher readiness (91/100 vs peers) for near-term home use.
- Budget is a priority and EMO lists lower ($279).
- You need a buy now path today while alternatives are still prototype or coming soon.
- Your main goal is conversation, which EMO targets directly.
- Strengths like social interaction and perception match how you plan to use it at home.
Choose Reachy 2 if…
- Your main goal is education, which Reachy 2 targets directly.
- Strengths like manipulation and perception match how you plan to use it at home.
- You prefer a humanoid form factor over the alternatives in this compare.
| Spec | EMO  Living AILeads 5 | Reachy 2  Pollen RoboticsLeads 4 |
|---|---|---|
| Performance | ||
| Readiness Score | 91 | 86 |
| Reality Score | 88 | 84 |
| Data Freshness | 85% | 85% |
| Speed | Unknown | Unknown |
| Payload | Unknown | 3 kg per arm |
| Specs | ||
| Height | 12 cm | 136–166 cm |
| Weight | 0.25 kg | 32–50 kg |
| Battery | 2.5 h | 8–10 h |
| Form | Desktop | Humanoid |
| Availability | ||
| Price | $279 | $70,000+ |
| Market Status | Buy Now | Limited |
| Availability | Available | Limited |
| Countries | United States, Canada, United Kingdom, Germany | United States, France, Global (direct order) |
| Intelligence | ||
| Mobility | Unknown | 68 |
| Manipulation | Unknown | 88 |
| Perception | 70 | 86 |
| Autonomy | 60 | 72 |
| Social Interaction | 95 | 70 |
| Home Navigation | 15 | 58 |
| Sensors | Camera, microphones, touch sensors | 2× IMX296 global-shutter stereo cameras, Orbbec Gemini 336 RGB-D, Luxonis OAK ToF, RPLIDAR S2, 2× lavalier mics, wheel IMUs |
| Connectivity | Wi-Fi, Bluetooth | Ethernet, Wi-Fi (customer network for AI) |
| Ecosystem | Living AI app; Alexa integration | ROS 2 Humble; Python SDK; Hugging Face LeRobot; Pollen-Vision perception library; VR teleoperation (Meta Quest 2/3); Docker simulation stack (Gazebo, MuJoCo) |
Green cells mark the stronger value in each row across 2 robots.