01110nam0 22003011i 450 UON0029354020231205103931.94686-7639-424-520070427d2001 |0itac50 baitaYU|||| |||||Belgrado oggiFotografie, allestimento grafico Ivo Eterovic[Introd. Momo Kapor2. ed.riveduta e ampliata Novi SavPrometej2001160 p.tav., ill.39 cm.BELGRADOCatalogo fotograficoUONC064214FIRSNovi SadUONL002370949.7Storia della Jugoslavia21ETEROVICIvoUONV168980694526KAPORMomoUONV151371PrometejUONV269320650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00293540SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI SERBO CROATO A 1598 SI EO 39613 5 1598 Belgrado oggi1252114UNIOR02519nam 2200517z 450 991082998970332120230830173307.01-5231-2835-61-119-66354-71-119-66349-0(CKB)4100000009374688(MiAaPQ)EBC5904688(CaSebORM)9781786305237(JP-MeL)3000131757(NjHacI)994100000009374688(EXLCZ)99410000000937468820230705d ||| || urcnu||||||||txtrdacontentcrdamediacrrdacarrierMobile robotics /Luc JaulinRev. and updated 2nd edLondonISTEHoboken, N.J.Wiley2019London :ISTE,2019.1 online resource (390 pages)880-04Systems and industrial engineering series / series editor, Hisham Abou-KandilPrevious ed.: 2015Includes bibliographical references (p. [359]-360) and index1-78630-523-2 Includes bibliographical references (pages [359]-360) and index.Three-dimensional Modeling -- Feedback Linearization -- Model-free Control -- Guidance -- Instantaneous Localization -- Identification -- Kalman Filter -- Bayes Filter.Mobile Robotics presents the different tools and methods that enable the design of mobile robots; a discipline booming with the emergence of flying drones, underwater mine-detector robots, robot sailboats and vacuum cleaners. Illustrated with simulations, exercises and examples, this book describes the fundamentals of modeling robots, developing the concepts of actuators, sensors, control and guidance. Three-dimensional simulation tools are also explored, as well as the theoretical basis for the reliable localization of robots within their environment. This revised and updated edition contains additional exercises and a completely new chapter on the Bayes filter, an observer that enhances our understanding of the Kalman filter and facilitates certain proofs.Systems and industrial engineering series.880-05/$1Mobile robotsMobile robots629.892548.3njb/09629.892njb/09Jaulin Luc1967-145512JP-MeLBOOK9910829989703321Mobile robotics4078838UNINA