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Manipulating Deformable Linear Objects: Characteristic Features for Vision-Based Detection of Contact State Transitions

Title data

Acker, Jürgen ; Henrich, Dominik:
Manipulating Deformable Linear Objects: Characteristic Features for Vision-Based Detection of Contact State Transitions.
In: Proceedings of the IEEE International Symposium on Assembly and Task Planning. - Besancon, France , 2003 . - pp. 204-209
DOI: https://doi.org/10.1109/ISATP.2003.1217212

Project information

Project title:
Project's official title
Project's id
Roboterbasierte Manipulation deformierbarer linearer Objekte
5300378

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

This paper deals with the handling of deformable linear objects (DLOs), such as hoses, wires, or leaf springs. It investigates usable features for the vision-based detection of a changing contact situation between a DLO and a rigid polyhedral obstacle and a classification of such contact state transitions. The result is a complete classification of contact state transitions and of the most significant features for each class. This knowledge enables reliable detection of changes in the DLO contact situation, facilitating implementation of sensor-based manipulation skills for all possible contact changes.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III > Chair Applied Computer Science III - Univ.-Prof. Dr. Dominik Henrich
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 05 Mar 2025 09:04
Last Modified: 18 Aug 2025 07:54
URI: https://eref.uni-bayreuth.de/id/eprint/92634