Adaptive navigation and motion planning for autonomous mobile robots

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dc.contributor.advisor Diehl, Michael de_DE
dc.contributor.author Aboshosha, Ashraf de_DE
dc.date.accessioned 2004-10-11 de_DE
dc.date.accessioned 2014-03-18T10:13:14Z
dc.date.available 2004-10-11 de_DE
dc.date.available 2014-03-18T10:13:14Z
dc.date.issued 2004 de_DE
dc.identifier.other 114067686 de_DE
dc.identifier.uri http://nbn-resolving.de/urn:nbn:de:bsz:21-opus-14034 de_DE
dc.identifier.uri http://hdl.handle.net/10900/48655
dc.description.abstract Exploring autonomy in robotics is a meaningful task. The intuitive definition of autonomy is the capability of a robot to make a decision based on its own knowledge, acquired by its distributed sensors, without any human interference. Throughout this framework we discuss some algorithms and techniques underlying the subjects of adaptive navigation and motion planning for autonomous mobile robots. Mobile Robots will play an important role in many future applications, such as personal and service robots, handicapped aid, entertainment, space exploration, medical applications, nuclear industry, surveillance or autonomous transportation. It is the mobility that distinguishes a mobile platform from robot manipulators and gives the possibility to actively and adaptively interact with the environment and humans. In real world environments actual mobile robot platforms will need increased adaptability and autonomy with better techniques for navigation safety, map building, obstacle avoidance and path planning. This study will first focus on sensor integration and adapted interaction that is considered one of the major basic concepts for mobile platforms. The contributions of this study arise from a formulation of new methods and techniques for sensor integration, mapping, motion planning and adaptive navigation instead of previously dominant approaches. By manipulating the manner in which feature information of sensor data is incorporated into processing, it can be shown that significant improvements in the performance of the presented algorithms can be attained. Moreover, the simplicity and the efficiency of the applied techniques succeeded to reinforce the robustness of the overall system in static and dynamic environments. The key idea of that is to achieve the following tasks improvement of system autonomy, reinforcement of the overall stability, enhancement of precision, increment of flexibility, reduction of energy consumption and more adaptation. en
dc.description.abstract In dieser Arbeit wurde die Pfadplanung und die adaptive Regelung mobiler Roboter diskutiert. Die Robustheit des Regelungssystems wurde durch Sensorintegration verstärkt, z.B. Sonarsensoren, Laserscanner, CCD-Kameras und einen geomagnetischen Kompass. Dabei wurde die Einsatzumgebung abgebildet, die Kollision vermieden und die Geschwindigkeit bei der Objektverfolgung geregelt. de_DE
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.rights ubt-podok de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en en
dc.subject.classification Bahnsteuerung , Bahnplanung , Navigieren , Autonomer Roboter , Mobiler Roboter de_DE
dc.subject.ddc 004 de_DE
dc.subject.other Bahnregelung , Adaptive Navigation , Autonome mobile Roboter de_DE
dc.subject.other Adaptive navigation , motion planning , autonomous mobile robots en
dc.title Adaptive navigation and motion planning for autonomous mobile robots en
dc.title Adaptive navigation and motion planning for autonomous mobile robots en
dc.title Adaptive Navigation und Bahnregelung für autonome mobile Roboter de_DE
dc.type PhDThesis de_DE
dc.date.updated 2004-10-11 de_DE
dcterms.dateAccepted 2004-10-06 de_DE
utue.publikation.fachbereich Sonstige - Informations- und Kognitionswissenschaften de_DE
utue.publikation.fakultaet 7 Mathematisch-Naturwissenschaftliche Fakultät de_DE
dcterms.DCMIType Text de_DE
utue.publikation.typ doctoralThesis de_DE
utue.opus.id 1403 de_DE
thesis.grantor 17 Fakultät für Informations- und Kognitionswissenschaften de_DE

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