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Learning Robotics using Python

You're reading from   Learning Robotics using Python Bring robotics projects to life with Python! Discover how to harness everything from Blender to ROS and OpenCV with one of our most popular robotics books.

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Product type Paperback
Published in May 2015
Publisher Packt
ISBN-13 9781783287536
Length 330 pages
Edition 1st Edition
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Robotics FREE CHAPTER 2. Mechanical Design of a Service Robot 3. Working with Robot Simulation Using ROS and Gazebo 4. Designing ChefBot Hardware 5. Working with Robotic Actuators and Wheel Encoders 6. Working with Robotic Sensors 7. Programming Vision Sensors Using Python and ROS 8. Working with Speech Recognition and Synthesis Using Python and ROS 9. Applying Artificial Intelligence to ChefBot Using Python 10. Integration of ChefBot Hardware and Interfacing it into ROS, Using Python 11. Designing a GUI for a Robot Using Qt and Python 12. The Calibration and Testing of ChefBot Index

Summary


This chapter was about assembling the hardware of ChefBot and integrating the embedded and ROS code into the robot to perform autonomous navigation. We saw the robot hardware parts that were manufactured using the design from Chapter 5, Working with Robotic Actuators and Wheel Encoders. We assembled individual sections of the robot and connected the prototype PCB that we designed for the robot. This consists of the Launchpad board, motor driver, left shifter, ultrasonic, and IMU. The Launchpad board was flashed with the new embedded code, which can interface all sensors in the robot and can send or receive data from the PC. After discussing the embedded code, we wrote the ROS Python driver node to interface the serial data from the Launchpad board. After interfacing the Launchpad board, we computed the odometry data and differential drive controlling using nodes from the differential_drive package that existed in the ROS repository. We interfaced the robot to ROS navigation stack...

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