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Artificial Intelligence for Robotics

You're reading from   Artificial Intelligence for Robotics Build intelligent robots that perform human tasks using AI techniques

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781788835442
Length 344 pages
Edition 1st Edition
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Author (1):
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Francis X. Govers III Francis X. Govers III
Author Profile Icon Francis X. Govers III
Francis X. Govers III
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Table of Contents (13) Chapters Close

Preface 1. Foundation for Advanced Robotics and AI 2. Setting Up Your Robot FREE CHAPTER 3. A Concept for a Practical Robot Design Process 4. Object Recognition Using Neural Networks and Supervised Learning 5. Picking up the Toys 6. Teaching a Robot to Listen 7. Avoiding the Stairs 8. Putting Things Away 9. Giving the Robot an Artificial Personality 10. Conclusions and Reflections 11. Assessments 12. Other Books You May Enjoy

Object Recognition Using Neural Networks and Supervised Learning

This is the chapter where we start to combine robotics and artificial intelligence to accomplish some of the tasks we have laid out so carefully in the previous chapters. The subject of this chapter is image recognition – we will be teaching the robot to recognize what is a toy, and what is not a toy, so that it can then decide what to pick up and what to leave alone. We will be using convolutional neural networks as a machine learning tool to separate objects in images, recognize them, and locate them in the camera frame, so that the robot can then locate them.

In this chapter, we will cover the following topics:

  • The basics of image recognition: what is an image?
  • Artificial neural networks: what is a neuron, and how do they work?
  • Training neural networks using stochastic gradient descent
  • Image processing...
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