Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (Record no. 12258)

000 -LEADER
fixed length control field 03358nam a22004215i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310143355.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130508s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642371608
978-3-642-37160-8
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 629.892
Edition number 23
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
912 ## -
-- ZDB-2-ENG
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Sturm, Jürgen.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
Medium [electronic resource] /
Statement of responsibility, etc by Jürgen Sturm.
300 ## - PHYSICAL DESCRIPTION
Extent XXVI, 204 p. 87 illus.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer Tracts in Advanced Robotics,
International Standard Serial Number 1610-7438 ;
Volume number/sequential designation 89
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Basics -- Body Schema Learning -- Learning Kinematic Models of Articulated Objects -- Vision-based Perception of Articulated Objects -- Object Recognition using Tactile Sensors -- Object State Estimation using Tactile Sensors -- Learning Manipulation Tasks by Demonstration -- Conclusions.
520 ## - SUMMARY, ETC.
Summary, etc Mobile manipulation robots are envisioned to provide many useful services both in domestic environments as well as in the industrial context. Examples include domestic service robots that implement large parts of the housework, and versatile industrial assistants that provide automation, transportation, inspection, and monitoring services. The challenge in these applications is that the robots have to function under changing, real-world conditions, be able to deal with considerable amounts of noise and uncertainty, and operate without the supervision of an expert. This book presents novel learning techniques that enable mobile manipulation robots, i.e., mobile platforms with one or more robotic manipulators, to autonomously adapt to new or changing situations. The approaches presented in this book cover the following topics: (1) learning the robot's kinematic structure and properties using actuation and visual feedback, (2) learning about articulated objects in the environment in which the robot is operating, (3) using tactile feedback to augment the visual perception, and (4) learning novel manipulation tasks from human demonstrations. This book is an ideal resource for postgraduates and researchers working in robotics, computer vision, and artificial intelligence who want to get an overview on one of the following subjects: ·         kinematic modeling and learning, ·         self-calibration and life-long adaptation, ·         tactile sensing and tactile object recognition, and ·         imitation learning and programming by demonstration.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Computer vision.
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Robotics and Automation.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
Topical term or geographic name as entry element Image Processing and Computer Vision.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642371592
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-37160-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-02AUM Main Library2014-04-02 2014-04-02 E-Book   AUM Main Library629.892