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High resolution, large area vision-based tactile sensing based on a novel piezoluminescent skin

High resolution, large area vision-based tactile sensing based on a novel piezoluminescent skin
High resolution, large area vision-based tactile sensing based on a novel piezoluminescent skin

The ability to precisely perceive external physical interactions would enable robots to interact effectively with the environment and humans. While vision-based tactile sensing has improved robotic grippers, it is challenging to realize high resolution vision-based tactile sensing in robot arms due to presence of curved surfaces, difficulty in uniform illumination, and large distance of sensing area from the cameras. In this article, we propose a novel piezoluminescent skin that transduces external applied pressures into changes in light intensity on the other side for viewing by a camera for pressure estimation. By engineering elastomer layers with specific optical properties and integrating a flexible electroluminescent panel as a light source, we develop a compact tactile sensing layer that resolves the layout issues in curved surfaces. We achieved multipoint pressure estimation over an expansive area of 502 cm 2 with high spatial resolution, a two-point discrimination distance of 3 mm horizontally and 5 mm vertically which is comparable to that of human fingers as well as a high localization accuracy (RMSE of 1.92 mm). These promising attributes make this tactile sensing technique suitable for use in robot arms and other applications requiring high resolution tactile information over a large area.

Pressure estimation, tactile sensor, two-point discrimination (TPD), vision-based sensing
1941-0468
2477-2494
Jiang, Ruxiang
b84dbbae-8504-4471-96ac-f1e5709495d2
Fu, Lanhui
fe2e2434-ae75-4a3c-bb77-03e3bceb87ff
Li, Yanan
abd60edb-57cf-41af-a1d5-93881c6238f1
Godaba, Hareesh
787c1482-6a29-43ad-b49e-a6a2b7175f0c
Jiang, Ruxiang
b84dbbae-8504-4471-96ac-f1e5709495d2
Fu, Lanhui
fe2e2434-ae75-4a3c-bb77-03e3bceb87ff
Li, Yanan
abd60edb-57cf-41af-a1d5-93881c6238f1
Godaba, Hareesh
787c1482-6a29-43ad-b49e-a6a2b7175f0c

Jiang, Ruxiang, Fu, Lanhui, Li, Yanan and Godaba, Hareesh (2025) High resolution, large area vision-based tactile sensing based on a novel piezoluminescent skin. IEEE Transactions on Robotics, 41, 2477-2494. (doi:10.1109/TRO.2025.3552327).

Record type: Article

Abstract

The ability to precisely perceive external physical interactions would enable robots to interact effectively with the environment and humans. While vision-based tactile sensing has improved robotic grippers, it is challenging to realize high resolution vision-based tactile sensing in robot arms due to presence of curved surfaces, difficulty in uniform illumination, and large distance of sensing area from the cameras. In this article, we propose a novel piezoluminescent skin that transduces external applied pressures into changes in light intensity on the other side for viewing by a camera for pressure estimation. By engineering elastomer layers with specific optical properties and integrating a flexible electroluminescent panel as a light source, we develop a compact tactile sensing layer that resolves the layout issues in curved surfaces. We achieved multipoint pressure estimation over an expansive area of 502 cm 2 with high spatial resolution, a two-point discrimination distance of 3 mm horizontally and 5 mm vertically which is comparable to that of human fingers as well as a high localization accuracy (RMSE of 1.92 mm). These promising attributes make this tactile sensing technique suitable for use in robot arms and other applications requiring high resolution tactile information over a large area.

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More information

Accepted/In Press date: 20 February 2025
e-pub ahead of print date: 17 March 2025
Keywords: Pressure estimation, tactile sensor, two-point discrimination (TPD), vision-based sensing

Identifiers

Local EPrints ID: 507187
URI: http://eprints.soton.ac.uk/id/eprint/507187
ISSN: 1941-0468
PURE UUID: a9d1843f-dcab-4831-bbc5-233012eef828
ORCID for Hareesh Godaba: ORCID iD orcid.org/0000-0001-6600-8513

Catalogue record

Date deposited: 28 Nov 2025 17:41
Last modified: 29 Nov 2025 03:11

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Contributors

Author: Ruxiang Jiang
Author: Lanhui Fu
Author: Yanan Li
Author: Hareesh Godaba ORCID iD

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