Mastering Autonomous Robotics with ROS2 and Python: A Hands-On Guide to Developing Intelligent Robot Behaviors for Navigation, Perception, and Autonom

Mastering Autonomous Robotics with ROS2 and Python: A Hands-On Guide to Developing Intelligent Robot Behaviors for Navigation, Perception, and Autonom - Paperback

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Mastering Autonomous Robotics with ROS2 and Python: A Hands-On Guide to Developing Intelligent Robot Behaviors for Navigation, Perception, and Autonom

Mastering Autonomous Robotics with ROS2 and Python: A Hands-On Guide to Developing Intelligent Robot Behaviors for Navigation, Perception, and Autonom - Paperback

$26.98
Sale price  $26.98 Regular price 

by Wilson Hayes (Author)

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

Number of Pages: 202
Dimensions: 0.43 x 9 x 6 IN
Publication Date: March 02, 2025

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