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Artificial Intelligence for Robotics - Second Edition

You're reading from  Artificial Intelligence for Robotics - Second Edition

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781805129592
Pages 344 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Francis X. Govers III Francis X. Govers III
Profile icon Francis X. Govers III

Table of Contents (18) Chapters

Preface Part 1: Building Blocks for Robotics and Artificial Intelligence
Chapter 1: The Foundation of Robotics and Artificial Intelligence Chapter 2: Setting Up Your Robot Chapter 3: Conceptualizing the Practical Robot Design Process Part 2: Adding Perception, Learning, and Interaction to Robotics
Chapter 4: Recognizing Objects Using Neural Networks and Supervised Learning Chapter 5: Picking Up and Putting Away Toys using Reinforcement Learning and Genetic Algorithms Chapter 6: Teaching a Robot to Listen Part 3: Advanced Concepts – Navigation, Manipulation, Emotions, and More
Chapter 7: Teaching the Robot to Navigate and Avoid Stairs Chapter 8: Putting Things Away Chapter 9: Giving the Robot an Artificial Personality Chapter 10: Conclusions and Reflections Answers Index Other Books You May Enjoy Appendix

Introducing subsumption architecture

At this point, I want to spend a bit of time on the idea behind the subsumption architecture, and point out some specifics of how we will be using this concept in the design of our robot project. Many of you will be familiar with the concept from school or from study, so you can look at my diagram and then move on. For the rest of us, let’s talk a bit about this biologically inspired robot concept.

Subsumption architecture was originally described by Dr. Rodney Brooks, a professor at MIT, who would later help found iRobot Corporation and invent the Baxter robot. Rodney was trying to develop analogs of insect brains in order to understand how to program intelligent robots. Robots before this time (1986) were very much single-threaded machines that pretty much only did one thing at a time. They read sensors, made decisions, and then acted – and only had one goal at any one time. Creatures such as flies or ants have very simple brains...

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