INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9783642371608
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
IR
Number
EN-54723
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
COUNTRY OF PUBLICATION OR PRODUCTlON
Country of publication
IR
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Approaches to Probabilistic Model Learning for Mobile Manipulation Robot
General Material Designation
[Book]
First Statement of Responsibility
/ by J?╝rgen Sturm
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Berlin, Heidelberg
Name of Publisher, Distributor, etc.
: Springer Berlin Heidelberg :Imprint: Springer,
Date of Publication, Distribution, etc.
, 2013.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
XXVI, 204 p. 87 illus., online resource.
SERIES
Series Title
(Springer Tracts in Advanced Robotics,1610-7438
Volume Designation
; 89)
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Electronic
CONTENTS NOTE
Text of Note
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.
Text of 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.
SERIES
Title
Springer Tracts in Advanced Robotics,1610-7438
Volume Number
89
TOPICAL NAME USED AS SUBJECT
Engineering
Artificial intelligence
Computer vision
Electronic books
LIBRARY OF CONGRESS CLASSIFICATION
Class number
E-BOOK
PERSONAL NAME - PRIMARY RESPONSIBILITY
Sturm, J?╝rgen.
PERSONAL NAME - SECONDARY RESPONSIBILITY
SpringerLink (Online service)
ORIGINATING SOURCE
Country
ایران
ELECTRONIC LOCATION AND ACCESS
Host name
9783642371592.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
9783642371592.pdf
Electronic Format Type
متن
old catalog
e
BL
1
a
Y
