Nonlinear Kalman Filtering for Force-Controlled Robot Tasks
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...
Guardat en:
| Autor principal: | |
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| Altres autors: | , |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2005. |
| Col·lecció: | Springer Tracts in Advanced Robotics
19 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Nonlinear Kalman filtering for force-controlled robot tasks, Tine Lefebvre, Herman Bruyninckx, Joris De Schutter, Berlin, Springer, 2005, 1 vol. (xv-265 p.), Springer tracts in advanced robotics, 3-540-28023-5 |
Taula de continguts:
- Introduction Literature Survey: Autonomous Compliant Motion Literature Survey: Bayesian Probability Theory Kalman Filters for Nonlinear Systems The Non-Minimal State Kalman Filter Contact Modelling Geometrical Parameter Estimation and CF Recognition Experiment: A Cube-In-Corner Assembly Task Planning with Active Sensing General Conclusions