Title data
Yue, Shigang ; Henrich, Dominik:
Manipulating Deformable Linear Objects: Sensor-Based Fast Manipulation during Vibration.
In:
Proceedings 2002 IEEE International Conference on Robotics and Automation. -
Washington, DC, USA
,
2002
. - pp. 2467-2472
DOI: https://doi.org/10.1109/ROBOT.2002.1013602
Project information
Project title: |
Project's official title Project's id RODEO No information |
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Abstract in another language
It is difficult for robots to handle a vibrating deformable object. Even for human beings it is a high-risk operation to, for example, insert a vibrating linear object into a small hole. However, fast manipulation using a robot arm is not just a dream; it may be achieved if some important features of the vibration are detected online. We present an approach for fast manipulation using a force/torque sensor mounted on the robot's wrist. A template matching method is employed to recognize the vibrational phase of the deformable objects. Therefore, a fast manipulation can be performed with a high success rate, even if there is acute vibration. Experiments inserting a deformable object into a hole are conducted to test the presented method. Results demonstrate that the presented sensor-based online fast manipulation is feasible.
Further data
Item Type: | Article in a book |
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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 13:32 |
Last Modified: | 18 Mar 2025 13:16 |
URI: | https://eref.uni-bayreuth.de/id/eprint/92652 |