Development of an elastic tactile sensor emulating human fingers for tele-presentation systems

Hidaka, Yusuke; Shiokawa, Yuta; Tashiro, Kaoru; Maéno, Takashi; Konyo, Masashi; Yamauchi, Takahiro

doi:10.1109/icsens.2009.5398363

Cited by 9 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The packaging skin-like layer of the 2 × 2 array of MEMS sensors was introduced to have a similar function to the epidermal ridges of a human finger that can enhance deformation and frictional properties of the fingertip surface. Significant contributions in the simulative analysis [ 26 , 27 ] and artificial emulation [ 27 , 28 ] of fingerprints were given by Maeno and colleagues, showing that their structure increases the sensitivity in tactile activities with a major effect on surface located type I receptors. Therefore, fingerprints were included in the design of the proposed biomimetic fingertip considering that the epidermal ridges and grooves of an adult human have width in the 100–300 μm range, and the typical between-ridge distance is 400 μm [ 8 , 26 , 28 ].…”

Section: Methodsmentioning

confidence: 99%

“…As regards the thickness, here we used an artificial epidermal ridge with a height h 1 of 170 μm, while the thickness h 2 of the homogeneous packaging layer covering the sensor array was 600 μm ( Figure 2 ); this resulted in sensing units being located quite close to the surface of the fingerpad, similarly to the positioning of type I human mechanoreceptors [ 26 , 28 ].…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Roughness Encoding in Human and Biomimetic Artificial Touch: Spatiotemporal Frequency Modulation and Structural Anisotropy of Fingerprints

Oddo

Beccai

Wessberg

et al. 2011

Sensors

View full text Add to dashboard Cite

The influence of fingerprints and their curvature in tactile sensing performance is investigated by comparative analysis of different design parameters in a biomimetic artificial fingertip, having straight or curved fingerprints. The strength in the encoding of the principal spatial period of ridged tactile stimuli (gratings) is evaluated by indenting and sliding the surfaces at controlled normal contact force and tangential sliding velocity, as a function of fingertip rotation along the indentation axis. Curved fingerprints guaranteed higher directional isotropy than straight fingerprints in the encoding of the principal frequency resulting from the ratio between the sliding velocity and the spatial periodicity of the grating. In parallel, human microneurography experiments were performed and a selection of results is included in this work in order to support the significance of the biorobotic study with the artificial tactile system.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Roughness Encoding in Human and Biomimetic Artificial Touch: Spatiotemporal Frequency Modulation and Structural Anisotropy of Fingerprints

Oddo

Beccai

Wessberg

et al. 2011

Sensors

View full text Add to dashboard Cite

show abstract

“…Hidaka et al placed a fingerprint structure on the outside and a sensing element inside to fabricate a sensor. (30) However, they observed the lowfrequency band with a strain gauge. A sensing mechanism that measures high-frequency signals, such as one made of piezoelectric material, is advantageous to simulate the RA receptor.…”

Section: Sensor Designmentioning

confidence: 99%

Biomimetic Hybrid Tactile Sensor with Ridged Structure That Mimics Human Fingerprints to Acquire Surface Texture Information

Kim¹,

Choi²,

Moon³

et al. 2020

Sensors and Materials

View full text Add to dashboard Cite

For robots manipulating objects, more sophisticated manipulations would be possible if surface information about the object were available. This information becomes even more critical when the manipulation is to be carried out in an unstructured environment. Tactile sensing has been the norm for collecting such surface information. In this paper, a sensor for recognizing surface texture was developed, in which a ridged structure on its surface, which generates vibrations when moved along the surface of the object of interest, is used. The pattern used for the ridged structure combines two distinct patterns that are found in different parts of a human fingerprint. In this work, sensors with two distinct fingerprint-like structures were first developed and tested to acquire surface texture information. Texture features were also extracted and identified with these sensors. Then a hybrid pattern was created by combining the two previously tested distinct structures. Finally, a series of experiments was conducted to compare the performance of sensors with a ridged structure having a single fingerprint pattern and a hybrid sensor whose ridged structure consists of two fingerprint patterns. In the experiments, the sensors collected surface information from nine different textured samples. Through these experiments, it was confirmed that the sensor using the hybrid pattern has better surface identification capabilities than the sensors using a single pattern.

show abstract

“…A tactile sensor that the authors developed [13] satisfies these requirements. The sensor adopted in this study is a hemispherical version [23] of this tactile sensor, such that the sensor is able to scan the texture in its planar direction. Fig.…”

Section: A Tactile Sensormentioning

confidence: 99%

Real-time remote transmission of multiple tactile properties through master-slave robot system

Yamauchi

Okamoto

Konyo

et al. 2010

2010 IEEE International Conference on Robotics and Automation

Self Cite

View full text Add to dashboard Cite

Remote transmission of high quality sense of touch requires the representation of multiple tactile properties and compensation of communication delay. We developed a realtime remote transmission system that can deliver multiple tactile properties using a master-slave robot system. First, we assessed what type of tactile properties should be transmitted and how to connect them in real time. Three tactile propertiesroughness, friction, and softness-were transmitted on the basis of the real-time estimated physical properties of three main wavelengths, a kinetic friction coefficient, and spring constants, respectively. Tactile stimulations were generated in synchronization with hand exploration at the master side by using local tactile generation models to compensate for communication time delay. The transmission of multiple tactile properties was achieved by the integration and enhancement of our previously reported methods for vibrotactile displays and tactile sensors. A discrimination experiment using different materials showed the feasibility of the total system involving the three tactile properties.

show abstract

Development of an elastic tactile sensor emulating human fingers for tele-presentation systems

Cited by 9 publications

References 6 publications

Roughness Encoding in Human and Biomimetic Artificial Touch: Spatiotemporal Frequency Modulation and Structural Anisotropy of Fingerprints

Roughness Encoding in Human and Biomimetic Artificial Touch: Spatiotemporal Frequency Modulation and Structural Anisotropy of Fingerprints

Biomimetic Hybrid Tactile Sensor with Ridged Structure That Mimics Human Fingerprints to Acquire Surface Texture Information

Real-time remote transmission of multiple tactile properties through master-slave robot system

Contact Info

Product

Resources

About