Resources
Tools, dataset platforms, robotics guides, repositories, and community resources for Physical AI
Overview
Here is a curated directory of tools, repositories, documentation, and community channels across the Humaan ecosystem to help you build, train, and deploy embodied intelligence.
Core Platforms & Tools
Humaan Loop
The continuous improvement cycle for robot intelligence. Connect dataset ingestion, policy training, and evaluation in one closed-loop system so every real-world interaction makes your robots more capable.
- Explore Humaan Loop
- Capture observations, actions, and outcomes from physical hardware.
- Benchmark and evaluate policy iterations against standardized tasks.
Humaan Index
The data foundation for robot learning. Review and curate robot experience into learning-ready datasets.
- Explore Humaan Index
- Episode timeline scrubbing and multi-camera stream inspection.
- Filter, label, and export training batches with high data quality.
Interactive 3D Robot Arm
Interactive 3D simulation and model viewer running directly in the browser.
- Launch Robot Arm Simulation
- Test inverse kinematics (IK) and joint limits in real time.
- Inspect coordinate frames, end-effector poses, and mechanical linkages.
Guides & Learning Material
The Robotics Manual
A foundational, hands-on reference covering the core mechanics and systems behind robotics.
- Open The Robotics Manual
- Foundations: What defines an embodied robot and how the sense-think-act loop operates.
- Sensors & Actuators: Perception layers, cameras, depth sensors, IMUs, brushless motors, and gearboxes.
- Kinematics & Control: Joint coordinate systems, degrees of freedom, and closed-loop feedback.
Platform Documentation
Official technical guides for setting up environments, working with datasets, and integrating robot hardware.
- Documentation Home
- Why Humaan Exists — The mission and philosophy behind our learning layer.
- What is Humaan? — System architecture, core loops, and modular hardware.
Hardware & Making
Accessible Experimentation
Our approach combines affordable, modular hardware with open-source software and 3D-printable components.
- Standardized off-the-shelf actuators and high-torque servomotors.
- Open 3D printable designs (STL and STEP files) for rapid iteration in maker spaces and garages.
- Lowering the barrier to entry so you don't need a multi-million-dollar lab to advance physical AI.
Code & Open Source
GitHub Repositories
Explore source code, contribute tools, and download hardware models.
- GitHub Organization: Core platform, drivers, and dataset utilities.
- Model Checkpoints: Reference policies and baseline models for imitation learning and teleoperation.
- CAD & Mechanical Files: Printable STL files and assembly schematics.
Community & Support
Join fellow roboticists, AI researchers, and builders:
- GitHub Discussions & Issues: Report bugs, propose features, and share code.
- X (@HumaanAI): Real-world robot test runs, research breakthroughs, and changelog updates.
- Discord Community: Real-time chat with developers, hardware troubleshooting, and project showcase.