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Reasoning with Uncertainty in Robotics : International Workshop, RUR '95, Amsterdam, The Netherlands, December 4-6, 1995. Proceedings - Leo Dorst
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Leo Dorst:

Reasoning with Uncertainty in Robotics : International Workshop, RUR '95, Amsterdam, The Netherlands, December 4-6, 1995. Proceedings - Taschenbuch

1996, ISBN: 3540613765

[EAN: 9783540613763], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], INTELLIGENZ / KÜNSTLICHE INTELLIGENZ; KI; - AI; ROBOTER ROBOTIK INDUSTRIEROBOTER; UNGESICHERT; UNSICHERHEIT UNG… Mehr…

NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Dorst:

Reasoning With Uncertainty In Robotics: International Workshop, Rur '95, Amsterdam, The Netherlands, December 4-6, 1995. Proceedings - Taschenbuch

ISBN: 9783540613763

Very Good. 21 handbills from Pittsburgh's Nixon Theatre, all one-sheet, sometimes on newsprint, all folded once as issued, all very good, some have tanning. Besides the plays mentioned i… Mehr…

USA, IND - Versandkosten:Sans frais d'envoi. (EUR 0.00) Common Crow Books, STM Traders Private Limited
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Reasoning with Uncertainty in Robotics - Leo Dorst
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Leo Dorst:
Reasoning with Uncertainty in Robotics - Taschenbuch

ISBN: 9783540613763

Paperback, [PU: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG], This book presents the refereed proceedings of the International Workshop on Reasoning with Uncertainty in Robotics, … Mehr…

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Dorst, Leo [Editor]; Lambalgen, Michiel Van [Editor]; Voorbraak, Frans [Editor];:
Reasoning With Uncertainty in Robotics: International Workshop, Rur '95, Amsterdam, the Netherlands, December 4-6, 1995. Proceedings (Lecture Notes in.../ Lecture Notes in Artificial Intelligence) - Taschenbuch

1996, ISBN: 9783540613763

Paperback, D'occasion, très bon état, Ex-library paperback in very nice condition with the usual markings and attachments., [PU: Springer]

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Dorst, Leo [Editor]; Lambalgen, Michiel van [Editor]; Voorbraak, Frans [Editor];:
Reasoning with Uncertainty in Robotics: International Workshop, RUR '95, Amsterdam, The Netherlands, December 4-6, 1995. Proceedings (Lecture Notes in Computer Science, 1093) - Taschenbuch

ISBN: 9783540613763

Springer, 1996-06-12. Paperback. New. New. In shrink wrap. Looks like an interesting title!, Springer, 1996-06-12, 6

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Reasoning with Uncertainty in Robotics
Autor:
Titel:
ISBN-Nummer:

3540613765


This book presents the refereed proceedings of the International Workshop on Reasoning with Uncertainty in Robotics, RUR'95, held in Amsterdam, The Netherlands, in December 1995.The book contains 13 revised full papers carefully selected for presentation during the workshop together with six invited papers. Also included are two comprehensive tutorial texts and an introduction by the volume editors. Thus the book is both a competent state-of-the-art report on current research and development and a valuable survey and introduction for researchers entering the area or professionals interested in the application of up-to-date techniques.

Detailangaben zum Buch - Reasoning with Uncertainty in Robotics


EAN (ISBN-13): 9783540613763
ISBN (ISBN-10): 3540613765
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 1996
Herausgeber: Springer Berlin
404 Seiten
Gewicht: 0,608 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-10-29T02:53:57+01:00 (Berlin)
Detailseite zuletzt geändert am 2023-07-28T13:47:17+02:00 (Berlin)
ISBN/EAN: 3540613765

ISBN - alternative Schreibweisen:
3-540-61376-5, 978-3-540-61376-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: frans, dorst, leo van, leo held
Titel des Buches: proceedings international workshop, amsterdam, artificial intelligence, netherlands, robot volume, december, dam 1995, rur, robotics

Daten vom Verlag:

Autor/in: Leo Dorst; Michiel van Lambalgen; Frans Voorbraak
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Reasoning with Uncertainty in Robotics - International Workshop, RUR '95, Amsterdam, The Netherlands, December 4-6, 1995. Proceedings
Verlag: Springer; Springer Berlin
395 Seiten
Erscheinungsjahr: 1996-06-12
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Deutschland.
Gewicht: 1,250 kg
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
IX, 395 p.

BC; Robotics and Automation; Hardcover, Softcover / Technik/Maschinenbau, Fertigungstechnik; Regelungstechnik; Verstehen; Autonome Mobile Agenten; Autonomous Mobile Agents; Bayes-Entscheidungstheorie; Bayesian Decision Theory; Navigation; Processing; Robot Navigation; Roboternavigation; Sensorenbasierte Bewegungsplanung; Unsicheres Schließen; decision theory; image processing; mobile robot; object recognition; robot; Artificial Intelligence; Control, Robotics, Mechatronics; Pattern Recognition; Control, Robotics, Automation; Artificial Intelligence; Automated Pattern Recognition; Künstliche Intelligenz; Mustererkennung; EA

Mathematical foundations of navigation and perception for an autonomous mobile robot.- Reasoning with uncertainty in AI.- Robot navigation: Integrating perception, environmental constraints and task execution within a probabilistic framework.- Uncertainty reasoning in object recognition by image processing.- Partially observable markov decision processes for artificial intelligence.- An evidential approach to probabilistic map-building.- Belief formation by constructing models.- Causal relevance.- The robot control strategy in a domain with dynamical obstacles.- Reasoning about noisy sensors (and effectors) in the situation calculus.- Recursive total least squares: An alternative to using the discrete kalman filter in robot navigation.- A sensor-based motion planner for mobile robot navigation with uncertainty.- Knowledge considerations in robotics.- Neural network applications in sensor fusion for an autonomous mobile robot.- Structuring uncertain knowledge with hierarchical bayesian networks.- Uncertainty treatment in a surface filling mobile robot.- Probabilistic map learning: Necessity and difficulties.- Robot navigation with markov models: A framework for path planning and learning with limited computational resources.- A refined method for occupancy grid interpretation.- Sensor planning with bayesian decision theory.- Perception-based self-localization using fuzzy locations.
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