Nonlinear Kalman Filtering for Force-Controlled Robot Tasks
Language: English
Published by Springer Berlin Heidelberg, 2005
Series: Book 15 of 153 - Springer Tracts in Advanced Robotics
- Hardcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Demonstrates how to improve robot autonomy by means of reliable processing skillsLatest developments in the areas of contact modeling, nonlinear parameter estimation and task plan optimizationThis monograph focuses on how to achieve mor.
Seller Inventory # 4886927
- Title
- Nonlinear Kalman Filtering for Force-Controlled Robot Tasks
- Author
- Tine Lefebvre|Herman Bruyninckx|Joris de Schutter
- Publisher
- Springer Berlin Heidelberg
- Publication year
- 2005
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3540280235
- ISBN 13
- 9783540280231
- Series
- Book 15 of 153: Springer Tracts in Advanced Robotics
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
This monograph focuses on how to achieve more robot autonomy by means of reliable processing skills. "Nonlinear Kalman Filtering for Force-Controlled Robot Tasks " discusses the latest developments in the areas of contact modeling, nonlinear parameter estimation and task plan optimization for improved estimation accuracy. Kalman filtering techniques are applied to identify the contact state based on force sensing between a grasped object and the environment. The potential of this work is to be found not only for industrial robot operation in space, sub-sea or nuclear scenarios, but also for service robots operating in unstructured environments co-habited by humans where autonomous compliant tasks require active sensing.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This monograph focuses on how to achieve more robot autonomy by means of reliable processing skills. "Nonlinear Kalman Filtering for Force-Controlled Robot Tasks " discusses the latest developments in the areas of contact modeling, nonlinear parameter estimation and task plan optimization for improved estimation accuracy. Kalman filtering techniques are applied to identify the contact state based on force sensing between a grasped object and the environment. The potential of this work is to be found not only for industrial robot operation in space, sub-sea or nuclear scenarios, but also for service robots operating in unstructured environments co-habited by humans where autonomous compliant tasks require active sensing.
"About the title" may belong to another edition of this title.
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