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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

In this chapter, you learned how to simulate a custom robot called ChefBot. We discussed the design of the the robot in the previous chapter. After the robot design, we moved on to simulate the robot in a virtual environment to test the design of the robot, and checked whether it met our specifications. In this chapter, you learned about simulation and various simulator applications used in industry, research, and education in detail. After that, we discussed how the ROS framework and Gazebo simulator was used to perform the simulator work. We also created a sample hello_world package using ROS. We installed the TurtleBot stack and created ROS packages from the TurtleBot stack. Finally, we simulated the robot and performed gmapping and autonomous navigation in a hotel environment. We got to know that the accuracy of the simulation depends on the map, and that the robot will work better in simulation if the generated map is perfect.

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