Compare
Kuavo 5 vs Mirokaï
Quick verdict
Mirokaï leads on 9 of 12 comparable rows
Kuavo 5 leads on Speed, Payload, and Manipulation. Mirokaï leads on Readiness Score, Reality Score, Battery, and Price (+5 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 Mirokaï if…
- Budget is a priority and Mirokaï lists lower ($30,000+).
- Your main goal is elder care, which Mirokaï targets directly.
- Strengths like social interaction and perception match how you plan to use it at home.
| Spec | ![]() Kuavo 5 Leju RoboticsLeads 3 | ![]() Mirokaï Enchanted ToolsLeads 9 |
|---|---|---|
| Performance | ||
| Readiness Score | 78 | 81 |
| Reality Score | 70 | 74 |
| Data Freshness | 100% | 100% |
| Speed | 5 km/h | 3.2 km/h |
| Payload | 20 kg (reported) | 3 kg |
| Specs | ||
| Height | 173 cm | 123 cm |
| Weight | 63.5 kg | 26 kg |
| Battery | 1 h | 4 h |
| Form | Humanoid | Humanoid |
| Availability | ||
| Price | $50,000+ | $30,000+ |
| Market Status | Limited | Limited |
| Availability | Limited | Limited |
| Countries | China | France, Japan, United States |
| Intelligence | ||
| Mobility | 82 | 86 |
| Manipulation | 84 | 70 |
| Perception | 88 | 88 |
| Autonomy | 72 | 76 |
| Social Interaction | 58 | 94 |
| Home Navigation | 62 | 72 |
| Sensors | Orbbec Gemini 335L depth camera, Intel RealSense D405 wrist cameras (×2), Livox mid-360 LiDAR, 6-mic array, IMU, joint temperature sensors | 2× RGBD cameras, 2× IR cameras, 9× ToF cameras, 6× ultrasound, 4× microphones, 3× IMUs, torque sensors |
| Connectivity | Wi-Fi 6E/7, Ethernet, 5G (optional module) | Wi-Fi 2.4 GHz & 5 GHz |
| 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 | Enchanted Tools Web API; Mirokaï simulator (pymirokai); ROS-based stack; Multi-LLM voice stack |
Green cells mark the stronger value in each row across 2 robots.

