Adaptive IAS : Evolutionary autonomous optimal fuzzy path finding strategy: towards an optimal fuzzy path finding for Intelligent Autonomous Systems IAS - Couverture souple
Synopsis
A robotic vehicle is an intelligent mobile machine capable of autonomous operations in structured and unstructured environment, it must be capable of sensing, thinking, and acting. But, the current mobile robots do relatively little that is recognizable as intelligent. Therefore, the autonomous mobile robots must be able to achieve these tasks: to avoid obstacles, and to make one way towards their target. In fact, recognition, learning, decision-making, and action constitute principal problems of the navigation.When an autonomous robot moves from a source point to a target point in its given environment, it is necessary to plan an optimal or feasible path avoiding obstacles in its way and answer to some criterion of autonomy requirements.in this present work we present an optimal Evolutionary autonomous optimal fuzzy path finding strategy. This system constitutes the knowledge bases of an optimal control FL approach allowing recognition the fuzzy situation of the target localization and obstacle avoidance, respectively. This approach can be realized in efficient manner and has proved to be superior to combinatorial optimization techniques, due to the problem complexity.
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Adaptive IAS : Evolutionary autonomous optimal fuzzy path finding strategy
Edité par
LAP LAMBERT Academic Publishing Dez 2020, 2020
ISBN 10 : 6203193623
ISBN 13 : 9786203193626
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A robotic vehicle is an intelligent mobile machine capable of autonomous operations in structured and unstructured environment, it must be capable of sensing, thinking, and acting. But, the current mobile robots do relatively little that is recognizable as intelligent. Therefore, the autonomous mobile robots must be able to achieve these tasks: to avoid obstacles, and to make one way towards their target. In fact, recognition, learning, decision-making, and action constitute principal problems of the navigation.When an autonomous robot moves from a source point to a target point in its given environment, it is necessary to plan an optimal or feasible path avoiding obstacles in its way and answer to some criterion of autonomy requirements.in this present work we present an optimal Evolutionary autonomous optimal fuzzy path finding strategy. This system constitutes the knowledge bases of an optimal control FL approach allowing recognition the fuzzy situation of the target localization and obstacle avoidance, respectively. This approach can be realized in efficient manner and has proved to be superior to combinatorial optimization techniques, due to the problem complexity. 52 pp. Englisch. N° de réf. du vendeur 9786203193626
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Adaptive IAS : Evolutionary autonomous optimal fuzzy path finding strategy
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6203193623
ISBN 13 : 9786203193626
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hachour OuardaDr. Ouarda Hachour has her expertise in evaluation and passion in robotics systems research and application, her open full texts in this field based on interdisciplinary field of engineering systems and artificial intel. N° de réf. du vendeur 492779626
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Adaptive IAS : Evolutionary autonomous optimal fuzzy path finding strategy
Edité par
LAP LAMBERT Academic Publishing Dez 2020, 2020
ISBN 10 : 6203193623
ISBN 13 : 9786203193626
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -A robotic vehicle is an intelligent mobile machine capable of autonomous operations in structured and unstructured environment, it must be capable of sensing, thinking, and acting. But, the current mobile robots do relatively little that is recognizable as intelligent. Therefore, the autonomous mobile robots must be able to achieve these tasks: to avoid obstacles, and to make one way towards their target. In fact, recognition, learning, decision-making, and action constitute principal problems of the navigation.When an autonomous robot moves from a source point to a target point in its given environment, it is necessary to plan an optimal or feasible path avoiding obstacles in its way and answer to some criterion of autonomy requirements.in this present work we present an optimal Evolutionary autonomous optimal fuzzy path finding strategy. This system constitutes the knowledge bases of an optimal control FL approach allowing recognition the fuzzy situation of the target localization and obstacle avoidance, respectively. This approach can be realized in efficient manner and has proved to be superior to combinatorial optimization techniques, due to the problem complexity.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. N° de réf. du vendeur 9786203193626
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Adaptive IAS : Evolutionary autonomous optimal fuzzy path finding strategy : towards an optimal fuzzy path finding for Intelligent Autonomous Systems IAS
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6203193623
ISBN 13 : 9786203193626
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A robotic vehicle is an intelligent mobile machine capable of autonomous operations in structured and unstructured environment, it must be capable of sensing, thinking, and acting. But, the current mobile robots do relatively little that is recognizable as intelligent. Therefore, the autonomous mobile robots must be able to achieve these tasks: to avoid obstacles, and to make one way towards their target. In fact, recognition, learning, decision-making, and action constitute principal problems of the navigation.When an autonomous robot moves from a source point to a target point in its given environment, it is necessary to plan an optimal or feasible path avoiding obstacles in its way and answer to some criterion of autonomy requirements.in this present work we present an optimal Evolutionary autonomous optimal fuzzy path finding strategy. This system constitutes the knowledge bases of an optimal control FL approach allowing recognition the fuzzy situation of the target localization and obstacle avoidance, respectively. This approach can be realized in efficient manner and has proved to be superior to combinatorial optimization techniques, due to the problem complexity. N° de réf. du vendeur 9786203193626
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Adaptive IAS : Evolutionary autonomous optimal fuzzy path finding strategy | towards an optimal fuzzy path finding for Intelligent Autonomous Systems IAS
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6203193623
ISBN 13 : 9786203193626
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. Adaptive IAS : Evolutionary autonomous optimal fuzzy path finding strategy | towards an optimal fuzzy path finding for Intelligent Autonomous Systems IAS | Ouarda Hachour | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786203193626 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 119578765
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