Items related to Sensing and Filtering (Foundations and Trends(r) in...
Sensing and Filtering (Foundations and Trends(r) in Robotics): A Fresh Perspective Based on Preimages and Information Spaces: 4 (Foundations and Trends® in Robotics) - Softcover
Synopsis
Where do robots get their information? For a given task, what information is actually necessary? What is even meant by "information"? These questions lie at the heart of robotics and fall under the realm of sensing and filtering. In Sensing and Filtering, the author presents an unusual view of these subjects by characterizing the uncertainty due to the many-to-one mappings between the world and sensor readings. This is independent of noise-based uncertainty and reveals critical structure about the possible problems that can be solved using specific sensors. The set of all sensor models is arranged into a lattice that enables them to be compared for purposes of interchangeability. Filters, which combine sensor observations, are expressed in terms of information states (not information theory), a concept that was introduced in decision and control theory. Sensing and Filtering provides the reader with modeling tools and concepts for developing robotic systems that accomplish their tasks while carefully avoiding the reconstruction of unnecessary state information. This is in contrast to the approach usually taken in planning and control, which is to fully reconstruct and maintain the state at all times. The new approach may enable simple, robust, and inexpensive solutions to tasks such as navigation, topological mapping, coverage, patrolling, tracking, and pursuit-evasion.
"synopsis" may belong to another edition of this title.
About the Author
Steven M. LaValle is Associate Professor of Computer Science at the University of Illinois, Urbana-Champaign. He has worked in motion planning and robotics for over a decade and is a leading researcher who has published dozens of articles in the field. He is the main developer of the Rapidly-exploring Random Tree (RRT) algorithm, which has been used in numerous research labs and industrial products around the world. He has taught material on which the book is based at Stanford University, Iowa State University, the Tec de Monterrey, and the University of Illinois.
"About this title" may belong to another edition of this title.
- Publishernow publishers Inc
- Publication date2012
- ISBN 10 160198524X
- ISBN 13 9781601985248
- BindingPaperback
- LanguageEnglish
- Number of pages134
Search results for Sensing and Filtering (Foundations and Trends(r) in...
Stock Image
Sensing and Filtering
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9781601985248
Quantity: 15 available
Stock Image
Sensing and Filtering: A Fresh Perspective Based on Preimages and Information Spaces (Foundations and Trends(r) in Robotics)
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # I-9781601985248
Quantity: Over 20 available
Stock Image
Sensing and Filtering: A Fresh Perspective Based on Preimages and Information Spaces
Published by
now publishers Inc, 2012
ISBN 10: 160198524X
ISBN 13: 9781601985248
New
Paperback / softback
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 229. Seller Inventory # C9781601985248
Quantity: Over 20 available
Stock Image
Sensing and Filtering: A Fresh Perspective Based on Preimages and Information Spaces
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 132 pages. 9.21x6.14x0.50 inches. In Stock. Seller Inventory # x-160198524X
Quantity: 2 available
Stock Image
Sensing and Filtering: A Fresh Perspective Based on Preimages and Information Spaces
Seller: Chiron Media, Wallingford, United Kingdom
Seller rating 5 out of 5 stars
PF. Condition: New. Seller Inventory # 6666-IUK-9781601985248
Quantity: 10 available
Stock Image
Sensing and Filtering: A Fresh Perspective Based on Preimages and Information Spaces (Foundations and Trends(r) in Robotics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9781601985248_new
Quantity: Over 20 available
Stock Image
Sensing and Filtering
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781601985248
Quantity: Over 20 available
Seller Image
Sensing and Filtering
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Inhaltsverzeichnis1: Introduction 2: Physical Sensors 3: Virtual Sensors 4: Filtering 5: Discussion. Acknowledgements. Appendix. ReferencesKlappentextWhere do robots get their information? For a given task, wh. Seller Inventory # 448142497
Quantity: Over 20 available
Seller Image
Sensing and Filtering : A Fresh Perspective Based on Preimages and Information Spaces
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Where do robots get their information For a given task, what information is actuallynecessary What is even meant by 'information' These questions lie at the heart of roboticsand fall under the realm of sensing and filtering.In Sensing and Filtering, the author presents an unusual view of these subjects bycharacterizing the uncertainty due to the many-to-one mappings between the world andsensor readings. This is independent of noise-based uncertainty and reveals critical structureabout the possible problems that can be solved using specific sensors. The set of all sensormodels is arranged into a lattice that enables them to be compared for purposes ofinterchangeability. Filters, which combine sensor observations, are expressed in terms ofinformation states (not information theory), a concept that was introduced in decision andcontrol theory.Sensing and Filtering provides the reader with modeling tools and concepts for developingrobotic systems that accomplish their tasks while carefully avoiding the reconstruction ofunnecessary state information. This is in contrast to the approach usually taken in planningand control, which is to fully reconstruct and maintain the state at all times. The new approachmay enable simple, robust, and inexpensive solutions to tasks such as navigation, topologicalmapping, coverage, patrolling, tracking, and pursuit-evasion. Seller Inventory # 9781601985248
Quantity: 1 available
Stock Image
Sensing and Filtering: A Fresh Perspective Based on Preimages and Information Spaces (Foundations and Trends(r) in Robotics)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar2811580106105
Quantity: Over 20 available