Artificial intelligence for robotics build intelligent robots that perform human tasks using AI techniques
Artificial intelligence for robotics: build intelligent robots that perform human tasks using AI techniques

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...

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Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Govers, Francis X. (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Birmingham ; Mumbai Packt 2018
Schlagworte:
Künstliche Intelligenz
Robotik
Online-Zugang:FHD01
FHI01
FWS01
UBY01
Zusammenfassung: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 -- Control loops -- The 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 -- 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 -- Where - the game room upstairs -- The 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 -- Chapter 4: Object Recognition Using Neural Networks and Supervised Learning -- Technical 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 -- Version one - action state reinforcement learning -- Adaptive learning rate -- Q-learning implementation -- Version 2 - indexed states and actions -- Genetic algorithms -- Other robot arm machine-learning approaches -- Google's SAC-X -- Amazon Robotics Challenge -- Summary -- Questions -- Further reading -- Chapter 6: Teaching a Robot to Listen -- Technical requirements -- Robot speech recognition -- What are we doing? -- Speech to text -- Intent -- Mycroft -- Hardware -- Mycroft software -- Skills -- Dialogs -- Telling jokes - knock, knock
Receiving jokes - who's there? -- Summary -- Questions -- Further reading -- Chapter 7: Avoiding the Stairs -- Technical requirements -- Task analysis -- What is SLAM? -- Alternatives for navigation -- Neural networks -- Processing the image -- Training the neural network for navigation -- Convolutional neural network robot control implementation -- Summary -- Questions -- Further reading -- Chapter 8: Putting Things Away -- Technical requirements -- Task analysis -- Decision trees -- What do we mean by pruning? -- Self-classifying decision trees and AI tools -- Entropy -- One hot encoding -- Random forests -- Grid searching and A* (A-Star) -- The A* algorithm -- D* (D-Star or Dynamic A*) -- GPS path finding does not use a map! -- Summary -- Questions -- Further reading -- Chapter 9: Giving the Robot an Artificial Personality -- Technical requirements -- What is an artificial personality? -- The Turing test -- The art and science of simulation -- An emotion state machine -- Playing the emotion game -- Creating a model of human behavior -- Integrating artificial personality into our robot -- Personality construction - building blocks -- Context -- Under construction -- The robot emotion engine -- The human emotion model -- Human information storage -- Context memory -- Questions -- Further reading -- Chapter 10: Conclusions and Reflections -- Conclusions about our journey -- Careers in robotics -- Issues in AI - real and not real -- Some very brief words about robots and AI phobia -- Understanding risk in AI -- Final words -- Summary -- Questions -- Further reading -- Appendix: Assessments -- Other Books You May Enjoy -- Index
Beschreibung:1 Online-Ressource (v, 323 Seiten) Illustrationen, Diagramme (farbig)
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