Language: English
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3659232181 ISBN 13: 9783659232183
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3659232181 ISBN 13: 9783659232183
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 60.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659232181 ISBN 13: 9783659232183
Seller: moluna, Greven, Germany
Condition: New.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659232181 ISBN 13: 9783659232183
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. A method to determine a humanoid robot position | Based on machine learning strategies | Ignacio Lopez (u. a.) | Taschenbuch | 60 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659232183 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659232181 ISBN 13: 9783659232183
Seller: Mispah books, Redhill, SURRE, United Kingdom
paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2012, 2012
ISBN 10: 3659232181 ISBN 13: 9783659232183
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces an algorithm to determine a humanoid robot s position in an environment of known characteristics. The algorithm is based on evolutionary method as a machine learning strategy and takes into account the characteristics and constraints to which the humanoid robot is subject. The method raises the possibility to store a set of databases holding the minimal information from the images that describe the navigation area or possible obstacles in the robot's memory. The information in the databases can later be used by the robot at run time to navigate the area. 60 pp. Englisch.
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3659232181 ISBN 13: 9783659232183
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand pp. 60 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3659232181 ISBN 13: 9783659232183
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. 60.
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2012, 2012
ISBN 10: 3659232181 ISBN 13: 9783659232183
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces an algorithm to determine a humanoid robot's position in an environment of known characteristics. The algorithm is based on evolutionary method as a machine learning strategy and takes into account the characteristics and constraints to which the humanoid robot is subject. The method raises the possibility to store a set of databases holding the minimal information from the images that describe the navigation area or possible obstacles in the robot's memory. The information in the databases can later be used by the robot at run time to navigate the area.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659232181 ISBN 13: 9783659232183
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces an algorithm to determine a humanoid robot s position in an environment of known characteristics. The algorithm is based on evolutionary method as a machine learning strategy and takes into account the characteristics and constraints to which the humanoid robot is subject. The method raises the possibility to store a set of databases holding the minimal information from the images that describe the navigation area or possible obstacles in the robot's memory. The information in the databases can later be used by the robot at run time to navigate the area.