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E-raamat: From AI to Robotics: Mobile, Social, and Sentient Robots

  • Formaat: 430 pages
  • Ilmumisaeg: 28-Feb-2018
  • Kirjastus: CRC Press Inc
  • Keel: eng
  • ISBN-13: 9781315355276
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  • Formaat: 430 pages
  • Ilmumisaeg: 28-Feb-2018
  • Kirjastus: CRC Press Inc
  • Keel: eng
  • ISBN-13: 9781315355276
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From AI to Robotics: Mobile, Social, and Sentient Robots is a journey into the world of agent-based robotics and it covers a number of interesting topics, both in the theory and practice of the discipline. The book traces the earliest ideas for autonomous machines to the mythical lore of ancient Greece and ends the last chapter with a debate on a prophecy set in the apparent future, where human beings and robots/technology may merge to create superior beings the era of transhumanism. Throughout the text, the work of leading researchers is presented in depth, which helps to paint the socio-economic picture of how robots are transforming our world and will continue to do so. This work is presented along with the influences and ideas from futurists, such as Asimov, Moravec, Lem, Vinge, and of course Kurzweil.



The book furthers the discussion with concepts of Artificial Intelligence and how it manifests in robotic agents. Discussions across various topics are presented in the book, including control paradigm, navigation, software, multi-robot systems, swarm robotics, robots in social roles, and artificial consciousness in robots. These discussions help to provide an overall picture of current day agent- based robotics and its prospects for the future. Examples of software and implementation in hardware are covered in Chapter 5 to encourage the imagination and creativity of budding robot enthusiasts.

The book addresses several broad themes, such as AI in theory versus applied AI for robots, concepts of anthropomorphism, embodiment and situatedness, extending theory of psychology and animal behavior to robots, and the proposal that in the future, AI may be the new definition of science. Behavior-based robotics is covered in Chapter 2 and retells the debate between deliberative and reactive approaches. The text reiterates that the effort of modern day robotics is to replicate human-like intelligence and behavior, and the tools that a roboticist has at his or her disposal are open source software, which is often powered by crowd-sourcing. Open source meta-projects, such as Robot Operating System (ROS), etc. are briefly discussed in Chapter 5.

The ideas and themes presented in the book are supplemented with cartoons, images, schematics and a number of special sections to make the material engaging for the reader. Designed for robot enthusiasts researchers, students, or the hobbyist, this comprehensive book will entertain and inspire anyone interested in the exciting world of robots.
Preface xiii
Acknowledgements xxiii
About the Author xxv
Section I: Theory
Chapter 1 ...and then there were mobile robots
3(28)
1.1 Early Pioneers And The Story Till Shakey
3(11)
1.1.1 Walter's turtles
9(3)
1.1.2 Shakey and the Stanford Cart
12(2)
1.2 Current-Day Mobile Robotics
14(5)
1.3 Cultural And Social Impact
19(12)
1.3.1 Science fiction, entertainment industry, medical surgery and military
20(6)
1.3.2 Do robots pose a threat for human beings?
26(5)
Chapter 2 Embodied AI, or the tale of taming the fungus eater
31(56)
2.1 From Ai To Robots
31(1)
2.2 Artificial Intelligence For Robots
31(5)
2.2.1 What is an 'agent' ?
34(2)
2.3 Embodied Al-Making Of Autonomous Agents
36(5)
2.3.1 Toda's model for fungus eaters
36(1)
2.3.2 Design principles for autonomous AI agents
37(4)
2.4 Anthropomorphism-A Treasure Trove From Mother Nature
41(24)
2.4.1 Concepts from semiotics 'UMWELT'
41(2)
2.4.2 Concepts from ecology Uniqueness of vision
43(3)
2.4.3 Concepts from psychology-Behaviourism
46(3)
2.4.4 Artificial animals-ANIMAT
49(16)
2.5 Evaluating Performance-AI Vs. Engineering
65(6)
2.6 Three Forks In The Road
71(16)
2.6.1 The problem of completeness Planning is NP-hard
73(1)
2.6.2 The problem of meaning-The symbol grounding problem
74(3)
2.6.2.1 Solving the symbol grounding problem
75(2)
2.6.3 The problem of relevance The frame problem
77(22)
2.6.3.1 Representations-The root of all evil
79(8)
Chapter 3 Control paradigms for mobile robots
87(44)
3.1 Control Paradigms
87(3)
3.2 Braitenberg's Vehicles 1 To 4-Engineering Behaviour
90(9)
3.3 Deliberative Approach
99(4)
3.3.1 Shortcomings of the deliberative approach
99(2)
3.3.2 From animals to robots
101(1)
3.3.3 Robots and computers are fundamentally different
101(2)
3.4 Reactive Approach
103(11)
3.4.1 Subsumption architecture and the nouvelle AI
105(3)
3.4.2 Motor schema
108(3)
3.4.3 Action selection & bidding mechanisms
111(3)
3.5 A Critique Of The Nouvelle AI
114(8)
3.5.1 Issues with the nouvelle AI
116(3)
3.5.1.1 Implementation issues in subsumption architecture
116(2)
3.5.1.2 Issues with motor schema
118(1)
3.5.2 Extending reactive approach to higher functions
119(3)
3.6 Hybrid Architectures
122(9)
Section II: Implementation, or How to Make Robots
Chapter 4 Tools for a roboticist
131(24)
4.1 The Tools: Navigation And Adaptivity
131(3)
4.2 Navigation, Path Planning And Mapping
134(15)
4.2.1 A* and bug algorithms
134(1)
4.2.2 Considerations for navigation
135(2)
4.2.3 Artificial potential fields
137(9)
4.2.4 Nearness Diagram (ND)
146(2)
4.2.5 Navigation in three dimensions
148(1)
4.3 Adaptibility And Learning
149(6)
Chapter 5 Software, simulation & control
155(22)
5.1 Software For Robotics
155(5)
5.2 A Very Short Introduction To ROS
160(17)
Section III: Robot-Robot & Human-Robot Interactions
Chapter 6 Robot-robot interaction, groups and swarms
177(24)
6.1 Many Robot Systems
177(1)
6.2 Networked Robotics
178(3)
6.3 Swarm Robotics
181(20)
6.3.1 Relating agent behaviour to the collective behaviour
185(1)
6.3.2 Signatures of swarm robotics
186(3)
6.3.2.1 Minimalism: Non-intelligent robot, intelligent swarm
187(1)
6.3.2.2 Stigmergy: Indirect interactions
187(1)
6.3.2.3 Emergence: Swarm behaviour is difficult to model
188(1)
6.3.2.4 Phase change: Disorder to order
189(1)
6.3.2.5 Self organisation: A dynamically stable swarm
189(1)
6.3.3 Metrics for swarm robotics
189(2)
6.3.4 Swarm Engineering Visions for a new technology
191(10)
Chapter 7 Human-robot interaction and robots for human society
201(38)
7.1 Human-Robot Interaction
201(3)
7.1.1 Distributed cognition
204(1)
7.2 Social Robotics
204(10)
7.2.1 Design for social robots
207(7)
7.2.1.1 Aesthetics
208(2)
7.2.1.2 Facial traits
210(2)
7.2.1.3 Natural language processing (NLP)
212(2)
7.3 Applications
214(19)
7.3.1 Service robots, with a social face
214(3)
7.3.1.1 CERO Cooperative embodied robot operator
214(3)
7.3.2 Robots in elderly care
217(1)
7.3.2.1 Care-O-bot 3 The smart butler
217(1)
7.3.2.2 Hobbit-Returning a robot's favour
217(1)
7.3.3 Companion robot and robot therapy
218(7)
7.3.3.1 Paro-The cute robotic seal
220(2)
7.3.3.2 KASPAR Kinesics and synchronization in personal assistant robotics
222(3)
7.3.4 Museum guide and receptionist robots
225(5)
7.3.5 Functional robots, more than just smart machines
230(27)
7.3.5.1 Explorer robots-new age fungus eaters
230(1)
7.3.5.2 Search and rescue robots
231(2)
7.4 Japan, Robot History In The Making
233(6)
Chapter 8 Robots with moral agency, in the footsteps of Asimov
239(44)
8.1 The Need For The Good Robot
239(3)
8.2 Morality And Ethics
242(8)
8.3 Asimov's 3 Laws And Their Limitations
250(7)
8.4 Ethical Theory For Robots
257(16)
8.4.1 Deontology
257(2)
8.4.2 Consequentialism
259(2)
8.4.3 Deontology vs. Consequentialism-The trolley problem
261(4)
8.4.4 Implementing ethics as an architecture
265(7)
8.4.4.1 The ethical architecture action logic, in military robots
265(5)
8.4.4.2 Consequence engine using fast simulations for internal models
270(2)
8.4.4.3 First implementation, development of a carer robot with deontic ethics
272(1)
8.4.5 Virtue ethics
272(1)
8.5 Social Changes And The Near Future
273(10)
Section IV: ...the Future
Chapter 9 Quest for the sentient robot
283(48)
9.1 Can Robots Be Conscious?
283(2)
9.2 Self Awareness, Consciousness And Free Will
285(7)
9.2.1 Self awareness
285(1)
9.2.2 Consciousness
286(5)
9.2.3 Free will
291(1)
9.3 From Machines To (Near) Human Beings
292(5)
9.4 Semi-Sentient Paradigm And It's Limitations
297(5)
9.5 Memories, Meditation And The Inner World
302(2)
9.6 Experiments-Cog, Mirror Cognition And The 3 Wise Robots
304(27)
9.6.1 From reactive architecture
304(5)
9.6.1.1 Cog
305(1)
9.6.1.2 Consciousness based architecture
306(3)
9.6.2 From cross-modal bindings
309(3)
9.6.2.1 Cog's tambourine experiment
310(1)
9.6.2.2 Nico's drumming
310(2)
9.6.3 Mirror cognition
312(9)
9.6.3.1 A very simple implementation of the mirror test in robots
312(1)
9.6.3.2 Haikonen's somatosensory model
313(1)
9.6.3.3 Designing the mirror test with MoNADs
314(7)
9.6.4 Psychometric AI The knowledge game
321(10)
Chapter 10 Super intelligent robots and other predictions
331(30)
10.1 Peering Into The Crystal Ball
331(5)
10.2 Twilight Or Rebirth Of Our Civilisation?
336(6)
10.3 Superintelligence, Future Technology And Ray Kurzweil
342(19)
10.3.1 Super intelligence
347(3)
10.3.2 "To singularity and beyond"
350(6)
10.3.3 Alternate opinions & containment of AI
356(5)
Appendix A: Running The Examples 361(2)
A.1 Braitenberg Simulator
361(1)
a.2 WALLE EVA Chat
361(2)
References 363(26)
Index 389
Arkapravo Bhaumik is from New Delhi, India and has an advanced degree in Mechatronics from King's College, London. His research interests are mobile robotics, robot swarms and human-robot interaction. He is also enthusiastic about the open source philosophy and Linux. He prefers to spend time designing or writing about AI and robotics. His recent robots and simulations have employed ROS, and his research on machine learning has been with SVM to detect emotions from human faces. His excursions into natural language processing has been with Python NLTK. He is currently posted at the Birla Institute of Technology, Ranchi, India.