Hands On Robotics Projects Powered By Robot Operating System Machine Learning And Virtual Reality Build Self Driving Cars Mobile Manipulators And Industrial Robots For Real World Wins

Hands-On ROS Robotics Projects: ML and VR for Cars
✔️ Includes a single-volume guide for portable study and quick reference

This book introduces practical ROS-powered robotics projects, covering ROS-1 and ROS-2 concepts, Gazebo simulations, hardware interfacing, and real-world applications. It's designed for students, hobbyists, and professionals who want hands-on experience building mobile manipulators, self-driving cars, and industrial robots using ROS, machine learning, and VR.

✅ Author: Ramkumar Gandhinathan
✅ Edition: 2nd ed.
✅ Pages: 456
✅ Focus: ROS, ML, VR-powered robotics projects
✅ Includes ROS Melodic Morenia on Ubuntu 18.04 and ROS-2 overview
✅ Projects cover self-driving cars, mobile manipulators, and industrial robots
✅ Hardware interfacing with Nvidia Jetson Nano, Asus Tinker Board, Beaglebone Black

💡 What is a hands-on ROS robotics project guide for learning machine learning, virtual reality, and self-driving car concepts?

This guide helps you learn by doing, blending ROS fundamentals with AI and VR to tackle real-world robotics tasks.

- In-depth ROS basics and ROS-2 differences
- Hands-on projects with self-driving cars and mobile manipulators
- Hardware interfacing on Nvidia Jetson Nano, Asus Tinker Board, Beaglebone Black
- Reinforcement learning and deep learning integration with ROS
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