🛰️ ROS2 for AI-Driven Navigation Real-Time Decision-MakingImplementing AI Algorithms for Path Planning with ROS2 and Gazebo
In the age of intelligent machines, it’s not enough for robots to move—they must think, adapt, and navigate dynamically. ROS2 for AI-Driven Navigation is your complete guide to building smart, autonomous systems that can plan, react, and move through real-world environments in real time.
This book brings together the power of ROS2, Gazebo, and AI algorithms to help you develop path planning, obstacle avoidance, and real-time decision-making systems that fuel next-generation robotics.
What you’ll master:
AI-based path planning algorithms, from A* to deep reinforcement learning
Implementing navigation stacks with ROS2 and customizing behavior trees
Integrating sensor data (LiDAR, cameras, IMUs) for adaptive motion planning
Creating Gazebo simulations to test and refine navigation strategies
Using machine learning to optimize route efficiency and energy consumption
Building autonomous systems that adapt to changing terrain and dynamic obstacles
Real-world deployment of AI-based navigation with ROS2 nodes and message-passing
From warehouse automation to outdoor robotics, this guide delivers the practical, project-ready skills you need to build robots that know where they’re going—and how to get there safely.
🧠 Perfect for robotics engineers, AI developers, and simulation specialists
🚗 Includes complete ROS2 navigation projects, Gazebo test environments, and AI planning templates
📍 Compatible with ROS2 Foxy, Humble, Iron, and custom robot models
Navigate smarter. Decide faster. Build autonomous systems with confidence.