LEADER 04535nam 22006975 450 001 9910299943003321 005 20200706185537.0 010 $a3-319-77042-X 024 7 $a10.1007/978-3-319-77042-0 035 $a(CKB)4100000003359509 035 $a(DE-He213)978-3-319-77042-0 035 $a(MiAaPQ)EBC5577894 035 $a(PPN)226696790 035 $a(EXLCZ)994100000003359509 100 $a20180405d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRobot Path Planning and Cooperation $eFoundations, Algorithms and Experimentations /$fby Anis Koubaa, Hachemi Bennaceur, Imen Chaari, Sahar Trigui, Adel Ammar, Mohamed-Foued Sriti, Maram Alajlan, Omar Cheikhrouhou, Yasir Javed 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XIX, 190 p. 61 illus., 47 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v772 311 $a3-319-77040-3 320 $aIncludes bibliographical references and index. 327 $aPart I Global Robot Path Planning -- Introduction to Mobile Robot Path Planning -- Background on Arti?cial 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. 330 $aThis book presents extensive research on two main problems in robotics: the path planning problem and the multi-robot task allocation problem. It is the first book to provide a comprehensive solution for using these techniques in large-scale environments containing randomly scattered obstacles. The research conducted resulted in tangible results both in theory and in practice. For path planning, new algorithms for large-scale problems are devised and implemented and integrated into the Robot Operating System (ROS). The book also discusses the parallelism advantage of cloud computing techniques to solve the path planning problem, and, for multi-robot task allocation, it addresses the task assignment problem and the multiple traveling salesman problem for mobile robots applications. In addition, four new algorithms have been devised to investigate the cooperation issues with extensive simulations and comparative performance evaluation. The algorithms are implemented and simulated in MATLAB and Webots. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v772 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aRobotics 606 $aAutomation 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aRobotics. 615 0$aAutomation. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aRobotics and Automation. 676 $a629.892 700 $aKoubaa$b Anis$4aut$4http://id.loc.gov/vocabulary/relators/aut$0967388 702 $aBennaceur$b Hachemi$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChaari$b Imen$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aTrigui$b Sahar$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aAmmar$b Adel$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSriti$b Mohamed-Foued$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aAlajlan$b Maram$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aCheikhrouhou$b Omar$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aJaved$b Yasir$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299943003321 996 $aRobot Path Planning and Cooperation$92526436 997 $aUNINA