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Unobtrusive tactile sensing based on electromechanical boundary estimation.

Shunsuke Yoshimoto, Masataka Imura, Osamu Oshiro

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 7, 2016

Summary

We developed a novel tactile sensing technology for unobtrusive force and contact position detection. This method, based on electromechanical boundary estimation, shows accurate results for robotic and medical applications.

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Area of Science:

Robotics
Biomedical Engineering
Materials Science

Background:

Unobtrusive tactile sensing is crucial for advanced robotics and medical applications.
Existing methods often face challenges with mechanical obstructions and arbitrary object shapes.
Accurate force and contact localization are key for safe and effective human-robot interaction.

Purpose of the Study:

To introduce a novel tactile sensing technology for unobtrusive detection of interaction force and contact position.
To enable sensing on objects with arbitrary shapes without mechanical obstructions.
To evaluate the accuracy and reliability of the proposed sensing method.

Main Methods:

The sensing method utilizes electromechanical boundary estimation based on potential distribution.
A potential is applied to the objects, and the resulting potential distribution reveals the contact state.
Positional estimation error and the force-sensor output relationship were experimentally investigated.

Main Results:

The contact position can be estimated with a correctable systematic error of several millimeters.
A high correlation was confirmed between the interacting force and the system's output.
The technology demonstrated effective tactile sensing without mechanical obstructions.

Conclusions:

The proposed electromechanical boundary estimation offers a promising approach for unobtrusive tactile sensing.
This technology has significant potential for enhancing capabilities in medical robotics and general robotics.
Further research can refine error correction and expand applications for arbitrary object interactions.