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Tomonori Seki

dblp:274/9567 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—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 · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.412020
Novel Proximity Sensor for Realizing Tactile Sense in Suction Cups · ICRA 2020
Robotics › Robot manipulation › grasping › grasping mechanism
suction cup grasping
0.412020
Novel Proximity Sensor for Realizing Tactile Sense in Suction Cups · ICRA 2020
Robotics › Robot manipulation
tactile sensing
0.412020
Novel Proximity Sensor for Realizing Tactile Sense in Suction Cups · ICRA 2020

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

capacitive sensing · 0.4
YearPublicationVenuePosition
2020 Novel Proximity Sensor for Realizing Tactile Sense in Suction Cups
abstract
We propose a new capacitive proximity sensor that detects deformations of a suction cup as a tactile sense. We confirmed that one sensor module provides three applications for reliable picking and a simplified setup. The first application is the picking height decision. The second one is the placing height decision for detecting whether the grasped object is placed on the placement surface. These two applications are achieved by detecting the push-in stroke of the suction cup. The final application is detection of whether the suction cup is in partial contact or full contact with the object. This function can correct the picking posture as well as detect whether picking is possible before the pull-up motion. We also demonstrate that the partial contact position can be estimated in real time.
Sayaka Doi, Hiroki Koga, Tomonori Seki, Yutaro Okuno
ICRA3