Design of a High-Performance Tomographic Tactile Sensor by Manipulating the Detector Conductivity
Shunsuke Yoshimoto, Koji Sakamoto, Rina Takeda, Akio Yamamoto

TL;DR
This paper investigates how the conductivity distribution of detector materials affects the performance of a novel tomographic tactile sensor, enabling optimized design for soft robotics and wearable interfaces.
Contribution
It clarifies the relationship between material conductivity and sensor performance, introducing design strategies like gradient conductivity and multi-layer media for high-performance sensors.
Findings
Optimal conductivity for detectors is around 0.2 S/m.
Gradient conductivity and multi-layer media improve sensor flexibility.
Performance maps guide material selection for specific force ranges.
Abstract
Recent advancements in soft robots, human-machine interfaces, and wearable electronics have led to an increased demand for high-performance soft tactile sensors. Tomographic tactile sensor based on resistive coupling is a novel contact pressure imaging method that allows the use of an arbitrary conductive material in a detector. However, the influence of material properties on the sensing performance remains unclear and the efficient and appropriate selection of materials is difficult. In this study, the relationship between the conductivity distribution of the material used as a detector and the sensing performance including sensitivity, force range, spatial resolution, and position accuracy is clarified to develop a high-performance tomographic tactile sensor. The performance maps reveal that a material with a conductivity of approximately 0.2 S/m can serve as an effective detector…
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