| Description |
1 online resource (v, 324 pages) |
| Contents |
Cover; Title Page; Copyright and Credits; Dedication; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Foundation for Advanced Robotics and AI; Technical requirements; The basic principle of robotics and AI; What is AI (and what is it not)?; There is nothing new under the sun; The example problem -- clean up this room!; What you will learn; Artificial intelligence and advanced robotics techniques; Introducing the robot and our development environment; Software components (ROS, Python, and Linux); Robot control systems and a decision-making framework; Soft real-time control |
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Control loopsThe robot control system -- a control loop with soft real-time control; Reading serial ports in a real-time manner; Summary; Questions; Further reading; Chapter 2: Setting Up Your Robot; Technical requirements; What is a robot?; Robot anatomy -- what are robots made of?; Subsumption architecture; Software setup; Laptop preparation; Installing Python; Installing ROS on the laptop; Setup of Raspberry Pi 3; VNC; Setting up catkin workspaces; Hardware; Beginning at the beginning -- knolling; Assembling the tracks; Mounting the tracks; Arm base assembly (turntable); Arm assembly; Wiring |
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Where -- the game room upstairsThe problem -- part 2; Who -- the robot, the user (granddad), and the grandchildren; What -- receive commands and verbally interact (hold a conversation) with children, which must include knock-knock jokes; When -- as requested by the robot controller, then when the child speaks to the robot; Where -- in the game room, within about six feet of the robot; What is our robot to do?; Storyboards; Storyboard -- put away the toys; Project goals; Decomposing hardware needs; Breaking down software needs; Writing a specification; Summary; Questions; Further reading |
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Chapter 4: Object Recognition Using Neural Networks and Supervised LearningTechnical requirements; The image recognition process; The image recognition training and deployment process -- step by step; Image processing; Convolution; Artificial neurons; The convolution neural network process; Build the toy/not toy detector; Using the neural network; Summary; Questions; Further reading; Chapter 5: Picking up the Toys; Technical requirements; Task analysis; Setting up the solution; How do we pick actions?; Summary of robot arm learning process; Teaching the robot arm |
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Version one -- action state reinforcement learning |
| Summary |
Questions; Further reading; Chapter 3: A Concept for a Practical Robot Design Process; A systems engineering-based approach to robotics; Our task - cleaning up the playroom; Use cases; The problem - part 1; Who - the robot; What - pick up toys and put them in the toy box; What - pick up and put away in the toy box the items that were not previously in the room; When - after the grandchildren have visited and they have left, continue to pick up toys until there are none left; When - when I (the user) tell you to, and don't stop until there are no more toys to be found |
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Artificial Intelligence is arguably the most exciting and disruptive field of robotics which makes a man-made machine intelligent. This book will fulfill this vision by introducing various machine learning concepts to make your robot efficient. It will also equip your robot to make decisions, learn, and adapt based on its environment |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from digital title page (viewed on September 19, 2018) |
| Subject |
Artificial intelligence.
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artificial intelligence.
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Electronic devices & materials.
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Pattern recognition.
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Computer vision.
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Computer hardware.
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Computers -- Computer Vision & Pattern Recognition.
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Computers -- Microprocessors.
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Computers -- Hardware -- General.
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COMPUTERS -- General.
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Artificial intelligence
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| Form |
Electronic book
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| ISBN |
9781788835701 |
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1788835700 |
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