A Miniature High-Resolution Tension Sensor Based on a Photo-Reflector for Robotic Hands and Grippers

This paper presents a miniature tension sensor using a photo-reflector, designed for compact tendon-driven grippers and robotic hands. The proposed sensor has a small form factor of 13 mm × 7 mm × 6.5 mm and is capable of measuring tensile forces up to 200 N. A symmetric elastic structure incorporating fillets and flexure hinges is designed based on Timoshenko beam theory and verified via FEM analysis, enabling improved sensitivity and mechanical durability while minimizing torsional deformation. The sensor utilizes a compact photo-reflector (VCNT2020) to measure displacement in the near-field region, eliminating the need for light-absorbing materials or geometric modifications required in photo-interrupter-based designs. A 16-bit analog-to-digital converter (ADC) and CAN-FD (Flexible Data-rate) communication enable efficient signal acquisition with up to 5 kHz sampling rate. Calibration experiments demonstrate a resolution of 9.9 mN (corresponding to over 14-bit accuracy) and a root mean square error (RMSE) of 0.455 N. Force control experiments using a twisted string actuator and PI control yield RMSEs as low as 0.073 N. Compared to previous research using photo-interrupter, the proposed method achieves more than tenfold improvement in resolution while also reducing nonlinearity and hysteresis. The design is mechanically simple, lightweight, easy to assemble, and suitable for integration into robotic and prosthetic systems requiring high-resolution force feedback.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-09-03
DOI
https://doi.org/10.1109/jsen.2025.3603225
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
0.00

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article

A Miniature High-Resolution Tension Sensor Based on a Photo-Reflector for Robotic Hands and Grippers

Hyunbin Kim, Kyung-Soo Kim, Byeong-Il Ham
IEEE Sensors Journal
Robot Manipulation and Learning
article

A Miniature High-Resolution Tension Sensor Based on a Photo-Reflector for Robotic Hands and Grippers

Hyunbin Kim, Kyung-Soo Kim, Byeong-Il Ham
article en

Abstract

This paper presents a miniature tension sensor using a photo-reflector, designed for compact tendon-driven grippers and robotic hands. The proposed sensor has a small form factor of 13 mm × 7 mm × 6.5 mm and is capable of measuring tensile forces up to 200 N. A symmetric elastic structure incorporating fillets and flexure hinges is designed based on Timoshenko beam theory and verified via FEM analysis, enabling improved sensitivity and mechanical durability while minimizing torsional deformation. The sensor utilizes a compact photo-reflector (VCNT2020) to measure displacement in the near-field region, eliminating the need for light-absorbing materials or geometric modifications required in photo-interrupter-based designs. A 16-bit analog-to-digital converter (ADC) and CAN-FD (Flexible Data-rate) communication enable efficient signal acquisition with up to 5 kHz sampling rate. Calibration experiments demonstrate a resolution of 9.9 mN (corresponding to over 14-bit accuracy) and a root mean square error (RMSE) of 0.455 N. Force control experiments using a twisted string actuator and PI control yield RMSEs as low as 0.073 N. Compared to previous research using photo-interrupter, the proposed method achieves more than tenfold improvement in resolution while also reducing nonlinearity and hysteresis. The design is mechanically simple, lightweight, easy to assemble, and suitable for integration into robotic and prosthetic systems requiring high-resolution force feedback.

IEEE Sensors JournalVol. 25(20)
Korea Advanced Institute of Science and Technology (KR)
Agency for Defense Development
Openalex Percentile: Top 71%
Robot Manipulation and Learning
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A Miniature High-Resolution Tension Sensor Based on a Photo-Reflector for Robotic Hands and Grippers — Hyunbin Kim, Kyung-Soo Kim, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS