Model-Based Capacitive Touch Sensing in Soft Robotics: Achieving Robust Tactile Interactions for Artistic Applications

In this letter, we present a touch technology to achieve tactile interactivity for human-robot interaction (HRI) in soft robotics. By combining a capacitive touch sensor with an online solid mechanics simulation provided by the SOFA framework, contact detection is achieved for arbitrary shapes. Furthermore, the implementation of the capacitive touch technology presented here is selectively sensitive to human touch (conductive objects), while it is largely unaffected by the deformations created by the pneumatic actuation of our soft robot. Multi-touch interactions are also possible. We evaluated our approach with an organic soft robotics sculpture that was created by a visual artist. In particular, we evaluate that the touch localization capabilities are robust under the deformation of the device. We discuss the potential this approach has for the arts and entertainment as well as other domains.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-02-07
DOI
https://doi.org/10.1109/lra.2025.3539940
Citations
5
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
3.37
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article

Model-Based Capacitive Touch Sensing in Soft Robotics: Achieving Robust Tactile Interactions for Artistic Applications

Robert K. Katzschmann, Stefan Escaida Navarro, Hosam Alagi, Björn Hein et al.
5 citations
IEEE Robotics and Automation Letters
Soft Robotics and Applications
3.37
article

Model-Based Capacitive Touch Sensing in Soft Robotics: Achieving Robust Tactile Interactions for Artistic Applications

Robert K. Katzschmann, Stefan Escaida Navarro, Hosam Alagi, Björn Hein, Rubén Fernández Pozo, Barnabas Gavin Cangan, Carolina Silva-Plata, Carlos Rosel, Yosra Mojtahedi
article en
5 citations

Abstract

In this letter, we present a touch technology to achieve tactile interactivity for human-robot interaction (HRI) in soft robotics. By combining a capacitive touch sensor with an online solid mechanics simulation provided by the SOFA framework, contact detection is achieved for arbitrary shapes. Furthermore, the implementation of the capacitive touch technology presented here is selectively sensitive to human touch (conductive objects), while it is largely unaffected by the deformations created by the pneumatic actuation of our soft robot. Multi-touch interactions are also possible. We evaluated our approach with an organic soft robotics sculpture that was created by a visual artist. In particular, we evaluate that the touch localization capabilities are robust under the deformation of the device. We discuss the potential this approach has for the arts and entertainment as well as other domains.

IEEE Robotics and Automation LettersVol. 10(5)
SoftBank Robotics (France) (FR), Joimax (Germany) (DE), University of O'Higgins (CL), University of Chile (CL), Karlsruhe University of Applied Sciences (DE)
Openalex Percentile: Top 9%
Soft Robotics and Applications
3.37
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Model-Based Capacitive Touch Sensing in Soft Robotics: Achieving Robust Tactile Interactions for Artistic Applications — Robert K. Katzschmann, Stefan Escaida Navarro, et al. · IEEE Robotics and Automation Letters (2025) | TGRS Research Map | TGRS