Vi2TaP: A Cross-Polarization Based Mechanism for Perception Transition in Tactile-Proximity Sensing With Applications to Soft Grippers

Vision-based soft sensors have emerged as a promising solution for multi-modal sensory systems. Rather than relying on complex integrations of numerous specialized sensors, these devices are advantageous in achieving multiple perceptual capabilities with a single device. However, the unsolved bottleneck for existing systems lies in preventing perceptual interference among visual fields and establishing a reliable mechanism for switching between perception domains. In this study, we present <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Vi2TaP</i>, a novel mechanism leveraging the cross-polarization phenomenon to shift one perception domain to another in a tactile-proximity multimodal sensing paradigm. The core concept involves two polarizer films placed back-to-back. By adjusting the Plane of Polarization (PoP) between 0 to 90 deg, the camera can either fully open its Field-of-View (FoV) to the external environment for proximity sensing or restrict it to the internal space between the polarizers, tailored for tactile sensing. First implementation of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Vi2TaP</i> is showcased on a soft sensorized gripper. Additionally, we introduce efficient learning pipelines for both proximity and tactile perception, along with effective strategies for extracting valuable information. The experiment results have demonstrated the advantages of the proposed multi-modal sensing scheme in grasping and manipulating tasks. This mechanism is anticipated to accelerate the development and adoption of multimodal vision-based soft sensors across a wide range of practical applications.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-05-02
DOI
https://doi.org/10.1109/lra.2025.3566583
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.35
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article

Vi2TaP: A Cross-Polarization Based Mechanism for Perception Transition in Tactile-Proximity Sensing With Applications to Soft Grippers

Van Anh Ho, Nhan Huu Nguyen, Nhat Minh Dinh Le, Quan Khanh Luu et al.
2 citations
IEEE Robotics and Automation Letters
Advanced Sensor and Energy Harvesting Materials
1.35
article

Vi2TaP: A Cross-Polarization Based Mechanism for Perception Transition in Tactile-Proximity Sensing With Applications to Soft Grippers

Van Anh Ho, Nhan Huu Nguyen, Nhat Minh Dinh Le, Quan Khanh Luu, Tuan Tai Nguyen
article en
2 citations

Abstract

Vision-based soft sensors have emerged as a promising solution for multi-modal sensory systems. Rather than relying on complex integrations of numerous specialized sensors, these devices are advantageous in achieving multiple perceptual capabilities with a single device. However, the unsolved bottleneck for existing systems lies in preventing perceptual interference among visual fields and establishing a reliable mechanism for switching between perception domains. In this study, we present <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Vi2TaP</i>, a novel mechanism leveraging the cross-polarization phenomenon to shift one perception domain to another in a tactile-proximity multimodal sensing paradigm. The core concept involves two polarizer films placed back-to-back. By adjusting the Plane of Polarization (PoP) between 0 to 90 deg, the camera can either fully open its Field-of-View (FoV) to the external environment for proximity sensing or restrict it to the internal space between the polarizers, tailored for tactile sensing. First implementation of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Vi2TaP</i> is showcased on a soft sensorized gripper. Additionally, we introduce efficient learning pipelines for both proximity and tactile perception, along with effective strategies for extracting valuable information. The experiment results have demonstrated the advantages of the proposed multi-modal sensing scheme in grasping and manipulating tasks. This mechanism is anticipated to accelerate the development and adoption of multimodal vision-based soft sensors across a wide range of practical applications.

IEEE Robotics and Automation LettersVol. 10(6)
Japan Advanced Institute of Science and Technology (JP)
Openalex Percentile: Top 20%
Advanced Sensor and Energy Harvesting Materials
1.35
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