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Nonlinear Kalman Filtering for Force-Controlled Robot Tasks

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Nonlinear Kalman Filtering for Force-Controlled Robot Tasks Tine Lefebvre
Libristo kod: 01651857
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, veljača 2010
This monograph focuses on how to achieve more robot autonomy by means of reliable processing skills.... Cijeli opis
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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.

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Informacije o knjizi

Puni naziv Nonlinear Kalman Filtering for Force-Controlled Robot Tasks
Autor Tine Lefebvre, Herman Bruyninckx, Joris de Schutter
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2010
Broj stranica 266
EAN 9783642066290
ISBN 3642066291
Libristo kod 01651857
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Težina 439
Dimenzije 155 x 235 x 235

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Reference, Information & Interdisciplinary subjects > Research & information: general > Information theory > Cybernetics & systems theory
Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Electronic devices & materials
Technology, Engineering, Agriculture > Technology: general issues > Engineering: general
Computing & Information Technology > Computer science > Artificial intelligence
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