Compare
Kuavo 5 vs PM01
Quick verdict
PM01 leads on 6 of 11 comparable rows
Kuavo 5 leads on Speed, Manipulation, Perception, and Autonomy (+1 more). PM01 leads on Readiness Score, Reality Score, Battery, and Price (+2 more).
Who should choose which?

Choose Kuavo 5 if…
- Your main goal is education, which Kuavo 5 targets directly.
- Strengths like perception and manipulation match how you plan to use it at home.

Choose PM01 if…
- You want higher readiness (87/100 vs peers) for near-term home use.
- Verified shipping and public proof matter more to you (reality score 78/100).
- Budget is a priority and PM01 lists lower ($12,000).
- You need a buy now path today while alternatives are still prototype or coming soon.
- Your main goal is home assistant, which PM01 targets directly.
| Spec | ![]() Kuavo 5 Leju RoboticsLeads 5 | ![]() PM01 EngineAILeads 6 |
|---|---|---|
| Performance | ||
| Readiness Score | 78 | 87 |
| Reality Score | 70 | 78 |
| Data Freshness | 100% | 100% |
| Speed | 5 km/h | >2 m/s |
| Payload | 20 kg (reported) | Unknown |
| Specs | ||
| Height | 173 cm | 138 cm |
| Weight | 63.5 kg | 40 kg |
| Battery | 1 h | 2 h |
| Form | Humanoid | Humanoid |
| Availability | ||
| Price | $50,000+ | $12,000 |
| Market Status | Limited | Buy Now |
| Availability | Limited | Limited |
| Countries | China | China |
| Intelligence | ||
| Mobility | 82 | 90 |
| Manipulation | 84 | 76 |
| Perception | 88 | 82 |
| Autonomy | 72 | 68 |
| Social Interaction | 58 | 52 |
| Home Navigation | 62 | 68 |
| Sensors | Orbbec Gemini 335L depth camera, Intel RealSense D405 wrist cameras (×2), Livox mid-360 LiDAR, 6-mic array, IMU, joint temperature sensors | Intel RealSense depth camera, stereo cameras, LiDAR (education), IMU |
| Connectivity | Wi-Fi 6E/7, Ethernet, 5G (optional module) | Wi-Fi, Ethernet |
| Ecosystem | Kuavo ROS control stack; HarmonyOS / KaihongOS; Huawei Pangu embodied AI (partner integration); Modular arms, hands, and Kuavo 5-W wheel base; Jetson AGX Orin dev stack | ROS / ONNX deployment; MuJoCo sim2sim; Isaac-based training code; Jetson Orin NX dev stack (education); Quick-swap battery pack |
Green cells mark the stronger value in each row across 2 robots.

