Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Practical Robotics in C++: Build and Program Real Autonomous Robots Using Raspberry Pi (English Edition)

Practical Robotics in C++: Build and Program Real Autonomous Robots Using Raspberry Pi (English Edition)

Brombach, Lloyd

Paperback

Programming

ISBN10: 9389423465
ISBN13: 9789389423464
Publisher: Bpb Publications
Published: Jan 29 2021
Pages: 505
Weight: 1.90
Height: 1.02 Width: 7.50 Depth: 9.25
Language: English
Learn how to build and program real autonomous robots

Key Features
  • Simplified 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.

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