Author: Shu Xiao
The IAAC GitHub Organization is a unified repository ecosystem for interdisciplinary collaboration in robotics, computer vision, and design. It includes standardized repository templates, drivers for cameras (ZED Mini, Kinect Azure, etc.), LiDARs (RPLIDAR, Livox), and ROS integration. Resources support robotic platforms like ARM robots (offline, online, and real-time control), TurtleBots, Husky A100, and drones. Key applications include 3D reconstruction, navigation, and Python libraries for computer vision, machine learning, and point cloud processing. Comprehensive tutorials cover Linux, Docker, ROS, and virtual environments. This platform fosters innovation and efficiency, advancing IAAC’s cutting-edge research and development initiatives.
This page outlines six essential modules developed at IAAC that form the backbone of our robotics ecosystem:
- IAAC-templates
- IAAC-robots
- IAAC-hardware-drivers
- IAAC-applications
- IAAC-codebase
- IAAC-tutorials
These six modules together provide a comprehensive framework for building, deploying, and managing robotic systems. They encompass all aspects of robotics development, from hardware integration to advanced software tools, helping users design and implement cutting-edge robotics applications efficiently and effectively.
Before diving into the resources, take a moment to familiarize yourself with the structure of this page. Understanding the layout will help you quickly find the materials and tools you need to get started with your project.
The page is organized into clearly defined sections, each designed to guide you through different stages of the learning process, from initial setup to advanced topics. Once you're familiar with the structure, navigating to the relevant resources will be faster and more efficient, ensuring you make the most of the available content.
- What is this about?
- Where it can be used?
- Why to use it?
- How to use it?
Further Reading: Each module provides in-depth information about its purpose, applications, and step-by-step instructions on how to use it. For even more detailed guidance, you can explore the links to relevant resources provided on each module's page.
| Module | About | What's in this module | Linked Module | |
|---|---|---|---|---|
| 00 | IAAC-templates | Introduction of how to the template. | Templates | Link |
| 01 | IAAC-robots | This module focuses on various robotic platforms available for use. Includes different control mechanisms and configurations. | - Robotic Arm - Mobile Robot - Drone |
Link |
| 02 | IAAC-hardware-drivers | This module covers the integration of sensors and hardware necessary for robotic systems to perceive and interact with their environments. | - Camera - Lidar |
Link |
| 03 | IAAC-applications | This module focuses on the various robotic applications that can be developed using the IAAC framework. | - 3D Reconstruction - Navigation |
Link |
| 04 | IAAC-codebase | The IAAC_Codebase module provides a collection of software tools, libraries, and frameworks essential for developing robotic applications. | - Computer Vision-Python - Machine Learning |
Link |
| 05 | IAAC-tutorials | This module offers comprehensive educational resources for getting started and mastering the robotics ecosystem. | - Linux - Docker - Virtual Environment - Ros |
Link |
Our team updated our curricula! Check out:
- NEW -Docker
- NEW -ROS
- NEW -Mobile Robot