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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

Chapter 4. Designing ChefBot Hardware

In this chapter, we will discuss the design and working of ChefBot hardware and selection of its hardware components. In the previous chapter, we designed and simulated the basic robot framework in a hotel environment using Gazebo and ROS, and tested various measurements like robot body mass, motor torque, wheel diameter, and so on. Also, we tested the autonomous navigation capability of ChefBot in a hotel environment.

To achieve this goal in hardware, we need to select all hardware components and find how to interconnect all these components. We know that the main functionality of this robot is navigation; this robot will have the ability to navigate from the start position to the end position without any collision with its surroundings. We will discuss the different sensors and hardware components required to achieve this goal. We will see a block diagram representation and its explanation, and also discuss the main working of the robot....

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