Overview
Asimov 1 product specifications, including physical specs, compute architecture, software stack, and bill of materials.
Asimov 1
Asimov is an open source, reference humanoid.
This manual is a hardware guide for builders, engineers, and researchers who want to build Asimov themselves and want to understand how the robot is designed & trained.
Required Reading
- Before You Start for buyer-beware warnings and safety considerations.
- Quickstart to get started with the manual.
Specifications
| Spec | Value |
|---|---|
| Height | 1.2 m |
| Degrees of Freedom | 25 + 2 |
| Body | 25 actuators, 35kg squat to standing load |
| Head | Integrated sensor suite + onboard compute |
| Weight | 35 kg |
Features
In Scope:
- Data collection from: camera, audio, IMU, motor joint states
- Basic walking through teleoperations
- Embody custom AI agents via a Cloud API
- Virtual Asimov digital twin via a Cloud API
Out of Scope:
- Manipulation (no hands or grippers)
- Advanced locomotion (e.g. dancing)
- Onboard training (pre-trained policies only)
The DIY Kit
The Asimov 1 kit includes the following:
Hardware
| Category | Included | Not Included |
|---|---|---|
| Hardware | All BOM components (unassembled), power supply & cabling, extra spare parts | Tools, hands |
| Compute | Edge board (RaspberryPi with BT/WiFi), motion control board (internal bus), network board (Ethernet), power distribution board | 4G/5G modules |
| Sensors | Monocular camera, IMUs, mic, speaker, motor joint states | premium sensors (Lidar, 360 cam) |
| Safety | E-Stop (wireless), safety guidelines (labels, warnings, operating guidelines), Battery | — |
| Docs | Quick start guide, manual, DIY videos | — |
Software
| Software Layer | Function |
|---|---|
| Robot Cloud API / CLI | High-level agent control |
| Asimov API | Low-level robot data & commands |
| Apps | Virtual Asimov, real-time teleop app |
| Base walking policy | Pre-trained RL locomotion (on-robot) |
Software Manual
You can find the future Software manual here: https://docs.menlo.ai/ and open source code here: https://github.com/menloresearch
Escape hatch
Not what you're looking for?
- Check out V2 concepts. Shipping date unknown.
- Request a deposit refund: finance@menlo.ai. No questions asked.
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