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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

Testing of the robot using GUI

We have already discussed how to build a map of the environment using the robot simulation and robot hardware. In this section, we discuss how to command the robot to go into a particular place of the map. A better way to find the position of the robot in each table is to manually drive the robot using teleoperation.

Assuming that ChefBot packages are configured in both the robot's PC and the user's PC, there should be Wi-Fi networks to which both the robot and user PCs can connect and communicate using the IP assigned to each PC. It should be noted that we have to set ROS_MASTER_URI and ROS_IP, as mentioned in Chapter 10, Integration of ChefBot Hardware and Interfacing it into ROS, Using Python.

The following procedure can be used to test the robots that are working in a hotel environment:

  1. Remote login to the robot PC from the user PC using the ssh command. The command is given as follows:
    $ ssh <robot_pc_ip_address>
    
  2. If the room is not mapped...
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