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Yujin Kurimoto

dblp:32/3850 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2001
—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%
Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › soft robotics
soft robotic finger
0.012001
Dynamic Contact Sensing of Soft Planar Fingers with Tactile Sensors · ICRA 2001
Robotics › Robot manipulation › tactile sensing
tactile sensor
0.012001
Dynamic Contact Sensing of Soft Planar Fingers with Tactile Sensors · ICRA 2001
Haptics and multimodal interaction › force sensing
contact force estimation
0.012001
Dynamic Contact Sensing of Soft Planar Fingers with Tactile Sensors · ICRA 2001
Haptics and multimodal interaction
tactile sensing
0.012001
Dynamic Contact Sensing of Soft Planar Fingers with Tactile Sensors · ICRA 2001
Robotics › Robot manipulation
grasping
0.012001
Dynamic Contact Sensing of Soft Planar Fingers with Tactile Sensors · ICRA 2001

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

tactual image acquisition · 0.1force distribution estimation · 0.1
YearPublicationVenuePosition
2001 Dynamic Contact Sensing of Soft Planar Fingers with Tactile Sensors
abstract
Focuses on a method of estimating contact force dynamically between environment and an object, which is grasped by the soft planar fingers with tactile sensors. The external contact force acting on the grasped object causes the tactile sensors to generate the displacement distributions and the force distributions. We present a method of dynamic tactual image acquisitions for both distributions at the pseudo video rate. Experimental results show the measurement of the tactual image flows due to the deflection of an object and the magnitude and orientation of force vectors operating on the finger according to the external contact force. The contact position of the external force acting on the grasped object is estimated within 15% from the tactual image distributions.
Gen-ichiro Kinoshita, Yujin Kurimoto, Hisashi Osumi, Kazunori Umeda
ICRA2