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Approaches to Probabilistic Model Learning for Mobile Manipulation Robots by J?r
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eBay item number:386700156133
Item specifics
- Condition
- ISBN-13
- 9783642371592
- Book Title
- Approaches to Probabilistic Model Learning for Mobile Manipulatio
- ISBN
- 9783642371592
- Series
- Springer Tracts in Advanced Robotics Ser.
- Publication Year
- 2013
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
- Item Length
- 9.3in
- Publisher
- Springer Berlin / Heidelberg
- Item Width
- 6.1in
- Item Weight
- 167 Oz
- Number of Pages
- Xxv, 204 Pages
About this product
Product Information
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.
Product Identifiers
Publisher
Springer Berlin / Heidelberg
ISBN-10
3642371590
ISBN-13
9783642371592
eBay Product ID (ePID)
159869243
Product Key Features
Publication Name
Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
Format
Hardcover
Language
English
Series
Springer Tracts in Advanced Robotics Ser.
Publication Year
2013
Type
Textbook
Number of Pages
Xxv, 204 Pages
Dimensions
Item Length
9.3in
Item Width
6.1in
Item Weight
167 Oz
Additional Product Features
Series Volume Number
89
Number of Volumes
1 Vol.
Lc Classification Number
Tj212-225
Reviews
From the reviews: "This book is convenient for research purposes. It has a clear structure and is fairly readable. The topic may be appropriate for graduate studies." (Ramon Gonzalez Sanchez, Computing Reviews, January, 2014)
Table of Content
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.
Copyright Date
2013
Topic
Intelligence (Ai) & Semantics, Electrical, Computer Vision & Pattern Recognition, Robotics
Intended Audience
Scholarly & Professional
Illustrated
Yes
Genre
Computers, Technology & Engineering
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:386700156133
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Quality and hard to find book that won't be released 'til January 2025 in the U.S.A.
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