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024 7 $a10.1002/9781119486305
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100   $a20200313d2020      uy              
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aPath planning of cooperative mobile robots using discrete event models /$fCristian Mahulea, Marius Kloetzer, Ramo?n Gonza?lez
210  1$aHoboken, New Jersey :$cWiley,$d2020.
210  2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2020]
215   $a1 online resource (237 pages)
311   $a1-119-48632-7 
320   $aIncludes bibliographical references and index.
327   $aRobot Motion Toolbox -- Cell Decomposition Algorithms -- Discrete Event System Models -- Path Planning by Using Transition System Models -- Path and Task Planning Using Petri Net Models -- Concluding Remarks.
330   $aOffers an integrated presentation for path planning and motion control of cooperative mobile robots using discrete-event system principles Generating feasible paths or routes between a given starting position and a goal or target position'while avoiding obstacles'is a common issue for all mobile robots. This book formulates the problem of path planning of cooperative mobile robots by using the paradigm of discrete-event systems. It presents everything readers need to know about discrete event system models'mainly Finite State Automata (FSA) and Petri Nets (PN)'and methods for centralized path planning and control of teams of identical mobile robots. Path Planning of Cooperative Mobile Robots Using Discrete Event Models begins with a brief definition of the Path Planning and Motion Control problems and their state of the art. It then presents different types of discrete models such as FSA and PNs. The RMTool MATLAB toolbox is described thereafter, for readers who will need it to provide numerical experiments in the last section. The book also discusses cell decomposition approaches and shows how the divided environment can be translated into an FSA by assigning to each cell a discrete state, while the adjacent relation together with the robot's dynamics implies the discrete transitions. Highlighting the benefits of Boolean Logic, Linear Temporal Logic, cell decomposition, Finite State Automata modeling, and Petri Nets, this book also: -Synthesizes automatic strategies based on Discrete Event Systems (DES) for path planning and motion control and offers software implementations for the involved algorithms -Provides a tutorial for motion planning introductory courses or related simulation-based projects using a MATLAB package called RMTool (Robot Motion Toolbox) -Includes simulations for problems solved by methodologies presented in the book Path Planning of Cooperative Mobile Robots Using Discrete Event Models is an ideal book for undergraduate and graduate students and college and university professors in the areas of robotics, artificial intelligence, systems modeling, and autonomous control.
606   $aMobile robots
615  0$aMobile robots.
676   $a629.892
700   $aMahulea$b Cristian$01341136
702   $aKloetzer$b Marius
702   $aGonza?lez$b Ramo?n
801  0$bCaBNVSL
801  1$bCaBNVSL
801  2$bCaBNVSL
906   $aBOOK
912   $a9910677309003321
996   $aPath planning of cooperative mobile robots using discrete event models$93063468
997   $aUNINA