Cristian Mahulea - Path Planning of Cooperative Mobile Robots Using Discrete Event Models

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Offers 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 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
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.

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6 Chapter 6Figure 6.1 An example of a Boolean specification. The robots are required to...Figure 6.2 Random environment with ten regions of interest and seven robots ...Figure 6.3 Random environment with seven regions of interest and five robots...Figure 6.4 Büchi automaton for the LTL specification The inputs that enablFigure 65 Trajectories computed for the LTL - фото 13The inputs that enabl...Figure 6.5 Trajectories computed for the LTL specification The robots syncFigure 66 Trajectories computed for the LTL specification - фото 14The robots sync...Figure 6.6 Trajectories computed for the LTL specification Other trajectorFigure 67 A simple environment to illustrate the sequencing - фото 15Other trajector...Figure 6.7 A simple environment to illustrate the sequencing problem. An env...Figure 6.8 RMPN for the team in the environment illustrated in Figure 6.7. T...Figure 6.9 A simple environment to illustrate the task gathering problem. An...Figure 6.10 Environment with three regions of interest sketched using RMTool...Figure 6.11 Example of a RARMPN model. The RARMPN model of two robots evolvi...Figure 6.12 Example of a RARMPN model with a monitor place картинка 16. The RARMPN mod...

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IEEE Press445 Hoes Lane Piscataway, NJ 08854

IEEE Press Editorial BoardEkram Hossain, Editor in Chief

David Alan Grier Andreas Molisch Diomidis Spinellis
Donald Heirman Saeid Nahavandi Sarah Spurgeon
Elya B. Joffe Ray Perez Ahmet Murat Tekalp
Xiaoou Li Jeffrey Reed

Path Planning of Cooperative Mobile Robots Using Discrete Event Models

Cristian Mahulea

University of Zaragoza, Spain

Marius Kloetzer

“Gheorghe Asachi” Technical University of Iasi, Romania

Ramón González

Robonity, Spain

2020 by The Institute of Electrical and Electronics Engineers Inc All - фото 17

© 2020 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Published simultaneously in Canada.

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