Documentation Overview

📚 About This Documentation

This documentation covers the complete miniROS-rs robotics middleware system, built with the philosophy of maximum robotics performance, minimum complexity.

🛠️ Local Development

Prerequisites

# Install mdbook
cargo install mdbook

Build and Serve

cd docs

# Serve with live reload (recommended for development)
mdbook serve --open

# Or just build static files
mdbook build

The documentation will be available at http://localhost:3000

📁 Documentation Structure

Core Concepts

• Introduction - Complete system overview
• Quick Start - 5-minute tutorial
• Core Concepts - Architecture and design

User Guide

• CLI Usage Guide - Command-line tools
• Scripts Guide - Build and automation scripts
• Examples - Progressive learning examples
• Python Bindings - ROS2 rclpy compatible Python API
• Visualization - Built-in 3D visualization

Package Development

• Package Examples - Real-world package implementations
• API Reference - Complete API documentation

Advanced Topics

• Transport Architecture - Multi-transport design
• DDS Transport - ROS2 compatibility layer
• Performance Optimization - Benchmarks and tuning

Development

• CI/CD Automation - Development automation

🎯 Key Features Documented

Focused Robotics Middleware

• Core ROS2 Patterns: Pub/Sub, Services, Actions, Parameters
• 3D Visualization: Built-in Rerun integration
• Multiple Transports: DDS, TCP, UDP support
• Python Compatibility: ROS2 rclpy-compatible API
• High Performance: Rust-based async implementation

Real-World Examples

• TurtleBot Control System: Complete robotics package
• Multi-Language Integration: Rust + Python workflows
• Performance Benchmarks: Production-ready optimizations
• Package Management: Professional development patterns

📊 Documentation Coverage

The miniROS-rs documentation provides:

🚀 Getting Started Paths

For Beginners

1. Introduction - Understand what miniROS-rs is
2. Quick Start - Build your first system
3. Examples - Learn step by step
4. Package Examples - Real-world implementations

For ROS2 Users

1. Core Concepts - Architecture differences
2. Python Bindings - Familiar rclpy API
3. DDS Transport - ROS2 compatibility
4. Package Examples - Migration patterns

For System Architects

1. Transport Architecture - Multi-transport design
2. Performance Optimization - Production tuning
3. Package Examples - System design patterns
4. API Reference - Complete system interfaces

For Developers

1. CLI Usage Guide - Development tools
2. Scripts Guide - Build automation
3. CI/CD Automation - Development workflow
4. API Reference - Implementation details

🎯 Best Practices Documented

Development Workflow

• Smart CLI Tools: Dual Rust/Python CLI with intelligent routing
• Package Structure: Modular design patterns
• Testing Strategy: Unit and integration testing
• Performance Monitoring: Built-in benchmarking

Production Deployment

• Multi-Transport Setup: DDS, TCP, UDP configurations
• Safety Patterns: Emergency stops and validation
• System Integration: Cross-language communication
• Monitoring: Health checks and diagnostics

Code Quality

• Type Safety: Rust type system benefits
• Error Handling: Robust error patterns
• Async Programming: High-performance async patterns
• Cross-Language: Seamless Rust-Python integration

✏️ Contributing to Documentation

Content Guidelines

1. Complete Coverage: Document all features and APIs
2. Progressive Learning: Start simple, build complexity
3. Real Examples: Use actual working code
4. ROS2 Compatibility: Emphasize familiar patterns
5. Performance Focus: Include benchmarks and tips

Writing Style

• Clear and Concise: Easy to understand explanations
• Code-Heavy: Show don’t just tell
• Beginner Friendly: Assume basic robotics knowledge only
• Production Ready: Include real-world considerations

Philosophy: Maximum robotics performance, minimum complexity 🤖📚