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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

Understanding robotic simulation

In general, robotic simulation is a process of developing a virtual model capable of emulating the real-world process. Through simulation, we can create a virtual model of the robot and test its design and programming code.

One of the definitions of simulation according to Systems Simulation: The Art and Science, Robert E. Shannon, Prentice Hall is:

It is the process of designing a model of a real system and conducting experiments with this model for the purpose of understanding the behavior of the system and for evaluating various strategies for the operation of the system. Thus it is critical that the mode be designed in such a way that the model behavior mimics the response behavior of the real system to events that take place over time.

The term's model and system are key components of our definition of simulation. By a model we mean a representation of a group of objects or ideas in some form other than that of the entity itself. By a system we mean...

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