Practical Robotics in C++

Learn how to build and program real autonomous robots Key FeaturesSimplified coverage on fundamentals of building a robot platform.Learn to program Raspberry Pi for interacting with hardware.Cutting-edge coverage on autonomous motion mapping and path planning algorithms for advanced robotics. Description Practical Robotics in C++ teaches the complete spectrum of Robotics right from the setting up a computer for a robot controller to putting power to the wheel motors. The book brings you the workshop knowledge of the electronics hardware and software for building a mobile robot platform. You will learn how to use sensors to detect obstacles how to train your robot to build itself a map and plan an obstacle-avoiding path and how to structure your code for modularity and interchangeability with other robot projects. Throughout the book you can experience the demonstrations of complete coding of robotics with the use of simple and clear C++ programming. In addition you will explore how to leverage the Raspberry Pi GPIO hardware interface pins and existing libraries to make an incredibly capable machine on the most affordable computer platform ever. What will you learn Write code for the motor drive controller. Build a Map from Lidar Data. Write and implement your own autonomous path-planning algorithm. Write code to send path waypoints to the motor drive controller autonomously. Get to know more about robot mapping and navigation.Who this book is for This book is most suitable for C++ programmers who have keen interest in robotics and hardware programming. All you need is just a good understanding of C++ programming to get the most out of this book. Table of Contents1. Choose and Set Up a Robot Computer2. GPIO Hardware Interface Pins Overview and Use3. The Robot Platform4. Types of Robot Motors and Motor Control5. Communication with Sensors and other Devices6. Additional Helpful Hardware7. Adding the Computer to Control your Robot8. Robot Control Strategy9. Coordinating the Parts10. Maps for Robot Navigation11. Robot Tracking and Localization12. Autonomous Motion13. Autonomous Path Planning14. Wheel Encoders for Odometry15. Ultrasonic Range Detectors16. IMUs: Accelerometers Gyroscopes and Magnetometers17. GPS and External Beacon Systems18. LIDAR Devices and Data19. Real Vision with Cameras20. Sensor Fusion21. Building and Programming an Autonomous Robot About the Author Lloyd Brombach is a controls engineer programmer and long-time electronics and robotics enthusiast. He has competed at robotics events such as the NASA-funded 2007 Lunar Regolith Excavation Challenge and recently the 27th Intelligent Ground Vehicle Challenge. He is committed to making contributions to the robotics field that future roboticists and robot-owners will benefit from for years to come. Facebook Profile: : Profile: https: //