Python 3.10+ · Apache 2.0

AI-First Open Platform for Embodied Robotics

Run the same Python code from simulation to real hardware. 5 lines of code to start your first robot. Under $500 reproducible hardware.

Get Started View on GitHub
navigate_office.py 
from threewe import Robot

async with Robot(backend="gazebo") as robot:
    image = robot.get_camera_image()
    await robot.move_to(x=2.0, y=1.0)
    pose = robot.get_pose()
Sim2Real Transfer
Zero Code Changes
<$500 Hardware Cost
5 Lines to Start
4 Sim Backends
12x Less Code vs ROS2
Unified Backend Architecture

Seamless Simulation-to-Real Pipeline

Switch between physics engines and real hardware with a single parameter. The same API runs across Mock, Gazebo Harmonic, NVIDIA Isaac Sim, and physical robots.

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Mock

Zero dependencies. Pure NumPy 2D kinematic simulation for unit tests and CI/CD.

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Gazebo

Gazebo Harmonic with Nav2 and SLAM. CPU-based physics simulation.

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Isaac Sim

NVIDIA GPU-accelerated parallel RL training with domain randomization.

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Real Hardware

Raspberry Pi 5 + ESP32-S3 + Hailo-8L. ROS2 Jazzy at 50Hz control loop.

Core Technology

Sim2Real Zero-Modification

Our backend abstraction eliminates the reality gap. The same Python API runs identically across all four backends—switch with a single parameter change, no code modifications needed.

Robot(backend="mock") → Robot(backend="real")
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AI-First API

Designed for transformer architectures. Tokenize sensor inputs and map action spaces directly to VLM/VLA outputs. No ROS2 knowledge required.

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Open Hardware <$500

Complete BOM, KiCad PCB schematics, STEP models, and assembly guides. Licensed under CERN-OHL-P v2 for full reproducibility.

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Gymnasium Ready

Standard OpenAI Gymnasium environments: Navigation, ObjectNav, Exploration, and VLN. Use your existing RL pipelines and Stable Baselines3.

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VLM/VLA Integration

Native support for GPT-4o, Qwen-VL, and custom VLA policies. One-line instruction execution: robot.execute_instruction("find the door")

Quickstart Guide

From Zero to Robot in 30s

01

Install the SDK via pip

02

Choose your backend (mock for instant start)

03

Run your first navigation script

Terminal content_copy
$ pip install threewe
... collecting packages
Successfully installed threewe-1.0.4
$ python navigate_office.py
[INFO] Backend: mock initialized
[INFO] Robot active at (0.0, 0.0)
[OK] Navigation complete → (2.0, 1.0)

How 3we Compares

The only platform combining full open hardware with production-grade AI integration.

Feature 3we TurtleBot 4 ROSbot XL JetBot
Python API (no ROS) ✓ ✗ ✗ ✗
Sim2Real Zero Modification ✓ ✗ ✗ ✗
Open PCB + BOM ✓ Full Closed Closed Partial
Gymnasium Interface ✓ ✗ ✗ ✗
VLM/VLA Native ✓ ✗ ✗ ✗
Hardware Cost <$500 ~$1,200 ~$2,800 ~$250
Safety (E-Stop) ISO 13850 Software None None

Built for the Ecosystem

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AI Researchers

Gymnasium environments + VLM integration. Train in Isaac Sim, deploy to hardware in minutes.

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Students

Learn embodied AI without ROS2 complexity. Full stack from ESP32 firmware to Python policies.

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RL Practitioners

Standard Gymnasium wrappers, PPO/SAC ready. Benchmark on the public leaderboard.

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Hardware Makers

Fork the open PCB design. PBC-34 hot-plug bus for custom sensor payloads.