Nonlinear Kalman Filtering for Force-Controlled Robot Tasks: 19 (Springer Tracts in Advanced Robotics, 19) - Tapa dura

Libro 15 de 153: Springer Tracts in Advanced Robotics

Bruyninckx, Herman; De Schutter, Joris; Lefebvre, Tine

 
9783540280231: Nonlinear Kalman Filtering for Force-Controlled Robot Tasks: 19 (Springer Tracts in Advanced Robotics, 19)

Sinopsis

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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De la contraportada

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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Otras ediciones populares con el mismo título

9783642066290: Nonlinear Kalman Filtering for Force-Controlled Robot Tasks: 19 (Springer Tracts in Advanced Robotics)

Edición Destacada

ISBN 10:  3642066291 ISBN 13:  9783642066290
Editorial: Springer, 2010
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