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Learning Robotics using Python

You're reading from  Learning Robotics using Python

Product type Book
Published in May 2015
Publisher Packt
ISBN-13 9781783287536
Pages 330 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (19) Chapters

Learning Robotics Using Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Introduction to Robotics Mechanical Design of a Service Robot Working with Robot Simulation Using ROS and Gazebo Designing ChefBot Hardware Working with Robotic Actuators and Wheel Encoders Working with Robotic Sensors Programming Vision Sensors Using Python and ROS Working with Speech Recognition and Synthesis Using Python and ROS Applying Artificial Intelligence to ChefBot Using Python Integration of ChefBot Hardware and Interfacing it into ROS, Using Python Designing a GUI for a Robot Using Qt and Python The Calibration and Testing of ChefBot Index

Integrating PyAIML into ROS


In this section, we are going to develop ROS Python nodes which can handle AIML files. We are using the Python code that we developed in the preceding section. The ROS version we are going to use is Indigo and the Ubuntu version we will use is 14.04.2. We already discussed the interfacing of speech recognition and speech synthesis in ROS and also discussed the Python code to interface AIML files. In this section, we will make a package in ROS to handle AIML files. Currently, there are no active packages in ROS repositories that can handle AIML files. We will build our own package using the code that we develop.

Create a ROS package using the following dependencies. Here the sound_play package is used for speech synthesis:

$ catkin_create_pkg ros_aiml rospy std_msgs sound_play

Create a scripts folder inside the ros_aiml package and create the following Python files in it. Create a folder called data and copy the ALICE AIML dataset we have already downloaded to this...

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