Description: Environment Learning for Indoor Mobile Robots by Juan Andrade Cetto, Alberto Sanfeliu Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots, such as estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. Publisher Description This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots, such as estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. One of the most relevant topics covered in this monograph is the theoretical formalism of partial observability in SLAM. The authors show that the typical approach to SLAM using a Kalman filter results in marginal filter stability, making the final reconstruction estimates dependant on the initial vehicle estimates. However, by anchoring the map to a fixed landmark in the scene, they are able to attain full observability in SLAM, with reduced covariance estimates. This result earned the first author the EURON Georges Giralt Best PhD Award in its fourth edition, and has prompted the SLAM community to think in new ways to approach the mapping problem. For example, by creating local maps anchored on a landmark, or on the robot initial estimate itself, and then using geometric relations to fuse local maps globally. This monograph is appropriate as a text for an introductory estimation-theoretic approach to the SLAM problem, and as a reference book for people who work in mobile robotics research in general. Details ISBN 3540327959 ISBN-13 9783540327950 Title Environment Learning for Indoor Mobile Robots Author Juan Andrade Cetto, Alberto Sanfeliu Format Hardcover Year 2006 Pages 136 Edition 2006th Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:137567949; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 139.71 USD
Location: Fairfield, Ohio
End Time: 2025-01-25T03:15:40.000Z
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Restocking Fee: No
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ISBN-13: 9783540327950
Book Title: Environment Learning for Indoor Mobile Robots
Number of Pages: Xvi, 136 Pages
Publication Name: Environment Learning for Indoor Mobile Robots : A Stochastic State Estimation Approach to Simultaneous Localization and Map Building
Language: English
Publisher: Springer Berlin / Heidelberg
Publication Year: 2006
Subject: Intelligence (Ai) & Semantics, Electrical, Robotics, Computer Vision & Pattern Recognition
Item Weight: 14.1 Oz
Type: Textbook
Author: Juan Andrade-Cetto, Alberto Sanfeliu
Subject Area: Computers, Technology & Engineering
Item Length: 9.3 in
Series: Springer Tracts in Advanced Robotics Ser.
Item Width: 6.1 in
Format: Mixed Lot
