04535nam 22006975 450 991029994300332120200706185537.03-319-77042-X10.1007/978-3-319-77042-0(CKB)4100000003359509(DE-He213)978-3-319-77042-0(MiAaPQ)EBC5577894(PPN)226696790(EXLCZ)99410000000335950920180405d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierRobot Path Planning and Cooperation Foundations, Algorithms and Experimentations /by Anis Koubaa, Hachemi Bennaceur, Imen Chaari, Sahar Trigui, Adel Ammar, Mohamed-Foued Sriti, Maram Alajlan, Omar Cheikhrouhou, Yasir Javed1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XIX, 190 p. 61 illus., 47 illus. in color.) Studies in Computational Intelligence,1860-949X ;7723-319-77040-3 Includes bibliographical references and index.Part I Global Robot Path Planning -- Introduction to Mobile Robot Path Planning -- Background on Artificial Intelligence Algorithms for Global Path Planning -- Design and Evaluation of Intelligent Global Path Planning Algorithms -- Integration of Global Path Planners in ROS -- Robot Path Planning using Cloud Computing for Large Grid Maps -- Part II Multi-Robot Task Allocation -- General Background on Multi-Robot Task Allocation -- Different Approaches to Solve the MRTA Problem -- Performance Analysis of the MRTA Approaches for Autonomous Mobile Robot.This book presents extensive research on two main problems in robotics: the path planning problem and the multi-robot task allocation problem. It is the first book to provide a comprehensive solution for using these techniques in large-scale environments containing randomly scattered obstacles. The research conducted resulted in tangible results both in theory and in practice. For path planning, new algorithms for large-scale problems are devised and implemented and integrated into the Robot Operating System (ROS). The book also discusses the parallelism advantage of cloud computing techniques to solve the path planning problem, and, for multi-robot task allocation, it addresses the task assignment problem and the multiple traveling salesman problem for mobile robots applications. In addition, four new algorithms have been devised to investigate the cooperation issues with extensive simulations and comparative performance evaluation. The algorithms are implemented and simulated in MATLAB and Webots.Studies in Computational Intelligence,1860-949X ;772Computational intelligenceArtificial intelligenceRoboticsAutomationComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Robotics and Automationhttps://scigraph.springernature.com/ontologies/product-market-codes/T19020Computational intelligence.Artificial intelligence.Robotics.Automation.Computational Intelligence.Artificial Intelligence.Robotics and Automation.629.892Koubaa Anisauthttp://id.loc.gov/vocabulary/relators/aut967388Bennaceur Hachemiauthttp://id.loc.gov/vocabulary/relators/autChaari Imenauthttp://id.loc.gov/vocabulary/relators/autTrigui Saharauthttp://id.loc.gov/vocabulary/relators/autAmmar Adelauthttp://id.loc.gov/vocabulary/relators/autSriti Mohamed-Fouedauthttp://id.loc.gov/vocabulary/relators/autAlajlan Maramauthttp://id.loc.gov/vocabulary/relators/autCheikhrouhou Omarauthttp://id.loc.gov/vocabulary/relators/autJaved Yasirauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299943003321Robot Path Planning and Cooperation2526436UNINA