Mastering Autonomous Robotics with ROS2 and Python

Harness the power of ROS2 and Python to design, build, and program intelligent autonomous robots. Whether you're a beginner or an experienced roboticist, this hands-on guide provides the knowledge and tools to develop AI-powered robots for navigation, manipulation, and human-robot interaction.

Key Features

¿ Master ROS2 for Robotics Development - Learn the fundamentals of Robot Operating System 2 (ROS2), including nodes, topics, services, and real-world applications.

¿ Practical Python Programming for Robotics - Implement sensor fusion, motion control, and AI-based decision-making with Python's powerful libraries like NumPy, OpenCV, and TensorFlow.

¿ Hands-On Navigation & Path Planning - Develop self-driving capabilities with SLAM, obstacle avoidance, and motion planning algorithms.

¿ AI-Powered Perception & Computer Vision - Train robots to detect objects, recognize patterns, and make intelligent decisions using deep learning and computer vision.

¿ Robot Manipulation & Dexterous Control - Use MoveIt! and ROS2 Navigation Stack to program robotic arms for grasping, picking, and placing objects.

¿ Human-Robot Interaction & Speech Recognition - Build robots that understand voice commands and gestures, enabling seamless human-machine collaboration.

¿ Debugging & Optimizing Robotics Systems - Learn best practices for troubleshooting ROS2 errors, optimizing performance, and remote debugging.

What You'll Learn