Asimov
$ 15 000
MenloAI
Asimov is a modular DIY humanoid robot built for developers and researchers, combining affordability, onboard computing, and real-world motion capabilities in a customizable platform.
Skill Score
2
Specifications and details:
| Availability | In production |
|---|---|
| Nationality | Singapore |
| Website | https://menlo.ai/ |
| Degrees of freedom, overall | 27 |
| Degrees of freedom, hands | N/A |
| Height [cm] | 120 |
| Max speed (km/h) | 3 |
| Strength [kg] | 35 |
| Weight [kg] | 35 |
| Runtime pr charge (hours) | 1.5 |
| Safe with humans | Yes |
| CPU/GPU | Onboard compute (exact model not specified; likely NVIDIA Jetson-class) |
| Ingress protection | N/A |
| Camera resolution | N/A |
| Connectivity | Ethernet, Wi‑Fi |
| Operating system | N/A |
| LLM integration | Yes |
| Latency glass to action | N/A |
| Motor tech | Electric actuators |
| Gear tech | Likely harmonic or planetary gear systems |
| Main structural material | Aluminum alloy + composite parts |
| Number of fingers | 5 per hand |
| Main market | Developers, research labs, robotics enthusiasts, universities |
| Manufacturer | MenloAI |
Description
Asimov is a compact humanoid robot designed for developers, researchers, and advanced hobbyists. It focuses on accessibility without sacrificing real-world capability. The system arrives as a DIY kit, which gives users full control over assembly and customization. As a result, it encourages hands-on learning and experimentation.
The robot balances power and size in a practical way. It stands at 1.2 meters tall and handles dynamic movements like squatting and standing under load. Additionally, its actuator system supports stable motion across a variety of tasks. This makes it suitable for both research labs and educational environments.
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Asimov integrates sensors and onboard computing directly into its head. Therefore, it can process perception and control locally without relying entirely on external systems. The platform supports advanced robotics workflows, including AI integration and real-time control. At the same time, it remains flexible for developers who want to extend its capabilities.
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Overall, Asimov targets users who want a capable humanoid without the extreme cost of enterprise robots. It lowers the barrier to entry while still offering meaningful performance. In contrast to closed systems, it promotes openness and customization. This makes it a strong option for innovation and prototyping.
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