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Dirik, Mahmut, Castillo, Oscar, Kocamaz, Fatih |
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Dirik, Mahmut, Castillo, Oscar, Kocamaz, Fatih |
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aut, aut, aut |
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Dirik, Mahmut |
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Library A |
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sid-183-col-kxpbbi |
| contents |
The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual-based motion control. The theoretical concepts are illustrated with a developed control architecture with soft computing and artificial intelligence methods. The proposed vision-based motion control strategy involves three stages. The first stage consists of the overhead camera calibration and the configuration of the working environment. The second stage consists of a path planning strategy using several traditional path planning algorithms and proposed planning algorithm. The third stage consists of the path tracking process using previously developed Gauss and Decision Tree control approaches and the proposed Type-1 and Type-2 controllers. Two kinematic structures are utilized to acquire the input values of controllers. These are Triangle Shape-Based Controller Design, which was previously developed and Distance-Based Triangle Structure that is used for the first time in conducted experiments. Four different control algorithms, Type-1 fuzzy logic, Type-2 Fuzzy Logic, Decision Tree Control, and Gaussian Control have been used in overall system design. The developed system includes several modules that simplify characterizing the motion control of the robot and ensure that it maintains a safe distance without colliding with any obstacles on the way to the target. The topics of the book are extremely relevant in many areas of research, as well as in education in courses in computer science, electrical and mechanical engineering and in mathematics at the graduate and undergraduate levels |
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(DE-627)1776326989, (DE-599)KXP1776326989, (OCoLC)1284869215 |
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000 - Computer science, information, general works |
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006 - Special computer methods |
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006.3 |
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006.3 |
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16.3 |
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000 - Computer science, information, general works |
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Computervision, Robotik, Bahnplanung |
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Informatik |
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science-computerscience |
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407 |
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Studies in fuzziness and soft computing |
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Cham, Switzerland, Springer, [2021] |
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Cham, Switzerland: Springer, [2021] |
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Vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic |
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1284869215 |
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xviii, 127 Seiten; Illustrationen |
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Studies in fuzziness and soft computing, volume 407 |
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Dirik, Mahmut VerfasserIn aut, Vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic Mahmut Dirik, Oscar Castillo, Fatih Kocamaz, Cham, Switzerland Springer [2021], xviii, 127 Seiten Illustrationen, Text txt rdacontent, ohne Hilfsmittel zu benutzen n rdamedia, Band nc rdacarrier, Studies in fuzziness and soft computing volume 407, The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual-based motion control. The theoretical concepts are illustrated with a developed control architecture with soft computing and artificial intelligence methods. The proposed vision-based motion control strategy involves three stages. The first stage consists of the overhead camera calibration and the configuration of the working environment. The second stage consists of a path planning strategy using several traditional path planning algorithms and proposed planning algorithm. The third stage consists of the path tracking process using previously developed Gauss and Decision Tree control approaches and the proposed Type-1 and Type-2 controllers. Two kinematic structures are utilized to acquire the input values of controllers. These are Triangle Shape-Based Controller Design, which was previously developed and Distance-Based Triangle Structure that is used for the first time in conducted experiments. Four different control algorithms, Type-1 fuzzy logic, Type-2 Fuzzy Logic, Decision Tree Control, and Gaussian Control have been used in overall system design. The developed system includes several modules that simplify characterizing the motion control of the robot and ensure that it maintains a safe distance without colliding with any obstacles on the way to the target. The topics of the book are extremely relevant in many areas of research, as well as in education in courses in computer science, electrical and mechanical engineering and in mathematics at the graduate and undergraduate levels, Computational intelligence, Control engineering, Robotics, Mechatronics, ROBOTERSTEUERUNG + ROBOTERREGELUNG, COMPUTERVISION (KÜNSTLICHE INTELLIGENZ), UNSCHARFE LOGIK (MATHEMATISCHE LOGIK), PROGRAMME UND ALGORITHMEN ZUR LÖSUNG SPEZIELLER PROBLEME, ROBOTERSEHEN, s (DE-588)4207417-4 (DE-627)10512026X (DE-576)210180714 Computervision gnd, s (DE-588)4261462-4 (DE-627)104630280 (DE-576)210598069 Robotik gnd, s (DE-588)4267628-9 (DE-627)104549785 (DE-576)210650184 Bahnplanung gnd, (DE-627), Castillo, Oscar 1959- VerfasserIn (DE-588)122520505 (DE-627)570556333 (DE-576)29330579X aut, Kocamaz, Fatih VerfasserIn aut, 9783030692476, Erscheint auch als 9783030692476, Studies in fuzziness and soft computing volume 407 407 (DE-627)245191631 (DE-576)055798799 (DE-600)1431114-8 1434-9922 ns, https://www.gbv.de/dms/tib-ub-hannover/1776326989.pdf V:DE-601 B:DE-89 pdf/application Inhaltsverzeichnis |
| spellingShingle |
Dirik, Mahmut, Castillo, Oscar, Kocamaz, Fatih, Vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic, Studies in fuzziness and soft computing, volume 407, The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual-based motion control. The theoretical concepts are illustrated with a developed control architecture with soft computing and artificial intelligence methods. The proposed vision-based motion control strategy involves three stages. The first stage consists of the overhead camera calibration and the configuration of the working environment. The second stage consists of a path planning strategy using several traditional path planning algorithms and proposed planning algorithm. The third stage consists of the path tracking process using previously developed Gauss and Decision Tree control approaches and the proposed Type-1 and Type-2 controllers. Two kinematic structures are utilized to acquire the input values of controllers. These are Triangle Shape-Based Controller Design, which was previously developed and Distance-Based Triangle Structure that is used for the first time in conducted experiments. Four different control algorithms, Type-1 fuzzy logic, Type-2 Fuzzy Logic, Decision Tree Control, and Gaussian Control have been used in overall system design. The developed system includes several modules that simplify characterizing the motion control of the robot and ensure that it maintains a safe distance without colliding with any obstacles on the way to the target. The topics of the book are extremely relevant in many areas of research, as well as in education in courses in computer science, electrical and mechanical engineering and in mathematics at the graduate and undergraduate levels, Computational intelligence, Control engineering, Robotics, Mechatronics, ROBOTERSTEUERUNG + ROBOTERREGELUNG, COMPUTERVISION (KÜNSTLICHE INTELLIGENZ), UNSCHARFE LOGIK (MATHEMATISCHE LOGIK), PROGRAMME UND ALGORITHMEN ZUR LÖSUNG SPEZIELLER PROBLEME, ROBOTERSEHEN, Computervision, Robotik, Bahnplanung |
| title |
Vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic |
| title_auth |
Vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic |
| title_full |
Vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic Mahmut Dirik, Oscar Castillo, Fatih Kocamaz |
| title_fullStr |
Vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic Mahmut Dirik, Oscar Castillo, Fatih Kocamaz |
| title_full_unstemmed |
Vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic Mahmut Dirik, Oscar Castillo, Fatih Kocamaz |
| title_in_hierarchy |
volume 407. Vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic ([2021]) |
| title_short |
Vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic |
| title_sort |
vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic |
| title_unstemmed |
Vision-based mobile robot control and path planning algorithms in obstacle environments using type-2 fuzzy logic |
| topic |
Computational intelligence, Control engineering, Robotics, Mechatronics, ROBOTERSTEUERUNG + ROBOTERREGELUNG, COMPUTERVISION (KÜNSTLICHE INTELLIGENZ), UNSCHARFE LOGIK (MATHEMATISCHE LOGIK), PROGRAMME UND ALGORITHMEN ZUR LÖSUNG SPEZIELLER PROBLEME, ROBOTERSEHEN, Computervision, Robotik, Bahnplanung |
| topic_facet |
Computational intelligence, Control engineering, Robotics, Mechatronics, ROBOTERSTEUERUNG + ROBOTERREGELUNG, COMPUTERVISION (KÜNSTLICHE INTELLIGENZ), UNSCHARFE LOGIK (MATHEMATISCHE LOGIK), PROGRAMME UND ALGORITHMEN ZUR LÖSUNG SPEZIELLER PROBLEME, ROBOTERSEHEN, Computervision, Robotik, Bahnplanung |
| url |
https://www.gbv.de/dms/tib-ub-hannover/1776326989.pdf |
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