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Chiyoharu Horiguchi

dblp:144/5094 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 87% Robot navigation and mapping · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › tactile sensing
tactile sensing for manipulation
0.011992
Development of a finger-shaped tactile sensor and its evaluation by active touch · ICRA 1992
Robotics › Robot manipulation › tactile sensing
tactile sensor design
0.011992
Development of a finger-shaped tactile sensor and its evaluation by active touch · ICRA 1992

Methods — techniques the papers use, named apart from their topics

position-sensitive detection · 0.0optical waveguide sensing · 0.0
YearPublicationVenuePosition
1992 Development of a finger-shaped tactile sensor and its evaluation by active touch
abstract
A finger-shaped tactile sensor previously reported in a scaled-up version was miniaturized and its signal processing speed improved. The miniaturized tactile sensor consists of a hemispherical optical waveguide with an elastic cover, a fiber-optics plate (FOP), a position-sensitive detector (PSD), and infrared light-emitting diodes (LEDs) for the light source. When an object comes in contact with the sensor, the elastic cover is depressed and light from the LEDs, which normally maintains total internal reflection within the waveguide, is scattered at the contact location of the waveguide and the cover. The scattered light is transmitted to the PSD through the FOP. The contact location and the normal to the surface of the object are determined from the output of the PSD. The sensor's fundamental characteristics were evaluated through experiments using the miniaturized version. The sensor was installed at the tip of a robotic finger to create an active touch system. By combining tactile sensing and motion control of the finger, the profile of an unseen object was successfully delineated.>
Hitoshi Maekawa, Kazuo Tanie, Kiyoshi Komoriya, Makoto Kaneko, Chiyoharu Horiguchi, Takao Sugawara
ICRA5