Publication: Wireless Capacitive Tactile Sensor Arra...
Master data
Title: | Wireless Capacitive Tactile Sensor Arrays for Sensitive/Delicate Robot Grasping |
Subtitle: | |
Abstract: | Uncertainties in grasp prediction for unknown, arbitrarily shaped objects in cluttered environments and un- certainty of the kinematics (e.g., series elastic robots or soft robots) can lead to poor grasps. For delicate objects, such poor grasps may damage the objects when they are dropped or when high local pressure is introduced in the grasping process. We propose a tactile sensor concept that allows predicting the quality of a grasp such that the object can be safely moved without being dropped. This prediction is done using an initial low force grasp and the force is only increased when the contact area is sufficiently large. The proposed customizable wireless Capacitive Tactile Sensor Array (CTSA) uses the deformation of a polymer to assess the contact area and the force distribution. A common homogeneous deformable electrode is embedded in the polymer. This electrode does not require any patterning nor any electrical connection but to ground. We present the manufacturing process which allows for robust yet cost effective realizations with a variety of electrode materials including conductive inks, conductive textiles, metal meshes and metal sheets. With the different approaches, parameters such as sensitivity and recovery time can be adjusted. Furthermore, the robustness of the sensor towards strong forces and objects with sharp edges and corners is shown. Finally, we demonstrate the benefits of the proposed sensor for grasping in a series of scenarios with rigid and soft 3D printed objects of various shapes. Allowing a reasonable false positive rate, 100 % of unsuccessful grasps in our evaluation experiments could be detected from the initial low force grasp. |
Keywords: | Tactile sensors, Robot grasping, Wireless sensor networks |
Publication type: | Article in Proceedings (Authorship) |
Publication date: | 13.12.2023 (Online) |
Published by: |
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
(
IEEE;
)
to publication |
Title of the series: | - |
Volume number: | - |
First publication: | Yes |
Version: | - |
Page: | pp. 10777 - 10784 |
Versionen
Keine Version vorhanden |
Publication date: | 13.12.2023 |
ISBN (e-book): |
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eISSN: | 2153-0866 |
DOI: | http://dx.doi.org/10.1109/IROS55552.2023.10342163 |
Homepage: | https://ieeexplore.ieee.org/document/10342163/ |
Open access |
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Authors
Serkan Ergun (internal) |
Tobias Mitterer (internal) |
Sherjeel Khan (external) |
Narendiran Anandan (internal) |
Rishabh Bhooshan Mishra (internal) |
Jurgen Kosel (external) |
Hubert Zangl (internal) |
Assignment
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Fakultät für Technische Wissenschaften
Institut für Intelligente Systemtechnologien
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AT - 9020 Klagenfurt am Wörthersee |
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Peer reviewed |
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working groups | No working group selected |
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Organisation | Address | ||
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Silicon Austria Labs GmbH
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AT - 9524 Villach |
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