Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
ROS Robotics Projects

You're reading from   ROS Robotics Projects Make your robots see, sense, and interact with cool and engaging projects with Robotic Operating System

Arrow left icon
Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781783554713
Length 452 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with ROS Robotics Application Development 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos FREE CHAPTER 3. Building a Siri-Like Chatbot in ROS 4. Controlling Embedded Boards Using ROS 5. Teleoperate a Robot Using Hand Gestures 6. Object Detection and Recognition 7. Deep Learning Using ROS and TensorFlow 8. ROS on MATLAB and Android 9. Building an Autonomous Mobile Robot 10. Creating a Self-Driving Car Using ROS 11. Teleoperating a Robot Using a VR Headset and Leap Motion 12. Controlling Your Robots over the Web

Chapter 3. Building a Siri-Like Chatbot in ROS

Artificial intelligence, machine learning, and deep learning are getting very popular nowadays. All these technologies are linked, and the common goal is to mimic human intelligence. There are numerous applications for these fields; some of the relevant ones are as follows:

  • Logical reasoning: This will generate logical conclusions from existing data. Reasoning using AI techniques is widely used in areas such as robotics, computer vision, and analytics.
  • Knowledge representation: This is the study of how a computer could store knowledge fragments like our brains do. This is possible using AI techniques.
  • Planning: This concept is heavily used in robotics; there are AI algorithms such as A* (star) and Dijkstra for planning a robot's path from its current position to a goal position. It is also heavily used in swarm robotics for robot planning.
  • Learning: Humans can learn, right? What about machines? Using machine learning techniques,...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime