A comprehensive, systematically structured educational resource for robotics and AI, the Robotics Tutorial covers foundational mathematics, C++ engineering, SLAM, motion planning, control, and embodied intelligence. It targets engineers, researchers, and students seeking a deep understanding of robotics systems, offering a complete knowledge base from fundamentals to advanced AI applications, with AI assistance in content generation.

How It Works

This project is a collection of standalone Markdown documents organized into distinct directories covering core robotics domains. It employs a rigorous internal specification (v5.0) for teaching chapters, mandating detailed theoretical explanations, step-by-step derivations, and practical engineering insights. The approach emphasizes depth, accuracy, and completeness, incorporating cognitive tools like analogies and counterfactuals to enhance learning.

Quick Start & Requirements

• Primary install / run command: git clone https://github.com/Michael-Jetson/Robotics_Tutorial.git
• Prerequisites: Documents are standalone Markdown files; no specific software prerequisites are listed beyond standard development tools for reading/rendering Markdown.
• Links: GitHub Repository

Highlighted Details

• The "Motion Control" section is extensive and complete, featuring 134 files and nearly 200,000 lines of content, including a 24-chapter sequence for legged robots.
• Chapters adhere to strict quality standards, including minimum line counts, multi-layered rules (content, expression, cognition), and a 5-gate quality system ensuring structure, accuracy, consistency, completeness, and polish.
• Content includes full derivations, fault diagnosis tables, cross-chapter bridges, and cumulative projects, with specific cognitive tools like analogies and counterfactuals.

Maintenance & Community

• Author: Pengfei Guo
• Affiliation: 达妙科技 (DAMIAO Technology)
• No community links (e.g., Discord, Slack) or roadmap details are provided in the README.

Licensing & Compatibility

• License: CC BY 4.0 (Creative Commons Attribution 4.0 International License).
• Compatibility: Allows free use, redistribution, and adaptation for any purpose, including commercial, provided attribution is given.

Limitations & Caveats

The SLAM and Embodied AI sections are marked as "In Progress," and the Mobile Robot Planning and Control section is described as "Skeleton," indicating these areas are not yet fully developed or detailed.