Neuro-fuzzy solution for integrated visual and force control

Yorck von Collani, Christian Scheering, Jianwei Zhang, Alois Knoll

Research output: Contribution to conferencePaperpeer-review

8 Scopus citations

Abstract

In this paper the use of a B-spline neuro-fuzzy model for different tasks such as vision-based fine-positioning using uncalibrated cameras and force control is presented. It is shown that neuro-fuzzy controllers can be used not only for low-dimensional problems like force control but also for high-dimensional problems like vision-based sensorimotor control and for fusing input from different sensors. Controllers of this type can be modularly combined to solve a given assembly problem.

Original languageEnglish
Pages135-140
Number of pages6
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI'99 - Taipei, Taiwan
Duration: 15 Aug 199918 Aug 1999

Conference

ConferenceProceedings of the 1999 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI'99
CityTaipei, Taiwan
Period15/08/9918/08/99

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