Principles of robotics & artificial intelligence / edited by] Donald R. Franceschetti, PhD.

Includes bibliographical references and index.

Abstraction -- Advanced encryption standard (AES) -- Agile robotics -- Algorithm -- Analysis of variance (ANOVA) -- Application programming interface (API) -- Artificial intelligence -- Augmented reality -- Automated processes and servomechanisms -- Autonomous car -- Avatars and simulation -- Behavioral neuroscience -- Binary pattern -- Biomechanical engineering -- Biomechanics -- Biomimetics -- Bionics and biomedical engineering -- Bioplastic -- Bioprocess engineering -- C -- C++ -- Central limit theorem -- Charles Babbage's difference and analytical engines -- Client-server architecture -- Cognitive science -- Combinatorics -- Computed tomography -- Computer engineering -- Computer languages, compliers, and tools -- Computer memory -- Computer networks -- Computer simulation -- Computer software -- Computer-aided design and manufacturing -- Continuous random variable -- Cybernetics -- Cybersecurity -- Cyberspace -- Data analytics (DA) -- Deep learning -- Digital logic --DNA computing -- Domain-specific language (DSL) -- Empirical formula -- Evaluating expressions -- Expert system -- Extreme value theorem -- Fiber technologies -- Fullerene -- Fuzzy logic -- Game theory -- Geoinformatics -- Go -- Grammatology -- Graphene -- Graphics technologies -- Holographic technology -- Human-computer interaction -- Hydraulic engineering -- Hypertext markup language (HTML) -- Integral -- Internet of Things (IoT) -- Interoperability -- Interval -- Kinematics -- Limit of a function -- Linear programming -- Local area network (LAN) -- Machine code -- Magnetic storage -- Mechatronics -- Microcomputer -- Microprocessor -- Motion -- Multitasking -- Nanoparticle -- Nanotechnology -- Network interface controller (NIC) -- Network topology -- Neural engineering -- Numerical analysis -- Objectivity (science) -- Object-oriented programming (OOP) -- Open access (OA) -- Optical storage -- Parallel computing -- Pattern recognition -- Photogrammetry -- Pneumatics --Polymer science -- Probability and statistics -- Programming languages for artificial intelligence -- Proportionality -- Public-key cryptography -- Python -- Quantum computing -- R -- Rate -- Replication -- Robotics -- Ruby -- Scale model -- Scientific control -- Scratch -- Self-management -- Semantic web -- Sequence -- Series -- Set notation -- Siri -- Smart city -- Smart homes -- Smart label -- Smartphones, tablets, and handheld devices -- Soft robotics -- Solar cell -- Space drone -- Speech recognition -- Stem-and-leaf plots -- Structured query language (SQL) -- Stuxnet -- Supercomputer -- Turing test -- Unix -- Video game design and programming -- Virtual reality -- Z3 -- Zombie -- Time Line of Machine Learning and Artificial Intelligence -- A.M. Turing Awards.

"The study of artificial intelligence and robotics offer the enormous potential of continuing the wide-reaching debate about how men and machines live together, now and in the future. The notion that a machine can respond to its environment, make decisions, and learn, has been the stuff of science fiction for hundreds of years. This work examines the key principles and concepts behind the engineering and technological advances that have allowed IBM?s Deep Blue to compete against professional chess players and game show contestants, and a device to by itself vacuum your house" -- From publisher.