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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

Product type Paperback

Published in Aug 2018

Publisher Packt

ISBN-13 9781788835442

Length 344 pages

Edition 1st Edition

Languages

Python

Tools

ROS

Concepts

Artificial Intelligence

Author (1):

Francis X. Govers III

View More author details

Table of Contents (19) Chapters

Title Page

Copyright and Credits

Dedication

Packt Upsell

Contributors

Preface

1. Foundation for Advanced Robotics and AI FREE CHAPTER

2. Setting Up Your Robot

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

1. Assessments

2. Other Books You May Enjoy

Leave a review - let other readers know what you think

Index

Questions

We went through a lot in this chapter. You can use the framework provided to investigate the properties of neural networks. Try several activation functions, or different settings for convolutions to see what changes in the training process.
Draw a diagram of an artificial neuron and label the parts. Look up a natural, human biological neuron, and compare.
What features of a real neuron and an artificial neuron are the same?
What are different?
What relationship does the first layer of a neural network have to the input?
What relationship does the last layer of a neural network have to the output?
Look up three kinds of loss functions and describe how they work. Include mean square loss and the two kinds of cross entropy loss.
What would you change if your network trained to 40% and got "stuck", or was unable to learn anything further?

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Authors (1)

Francis X. Govers III

Francis X. Govers III

Francis X. Govers III is an Associate Technical Fellow for Autonomy at Bell Textron, and chairman of the Textron Autonomy Council. He is the designer of over 30 unmanned vehicles and robots for land, sea, air, and space, including RAMSEE, the autonomous security guard robot. Francis helped lead the design of the International Space Station, the F-35 JSF Fighter, the US Army Future Combat Systems, and telemetry systems for NASCAR and IndyCar. He is an engineer, pilot, author, musician, artist, and maker. He received five outstanding achievement awards from NASA and recognition from Scientific American for World Changing Ideas. He has a Master of Science degree from Brandeis University and is a veteran of the US Air Force.

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