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Kiyotaka Kushihama

dblp:47/4261 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › tactile sensing › tactile perception
haptic exploration
0.012003
A vision-based haptic exploration · ICRA 2003
Virtual and augmented reality › immersive interaction
virtual object manipulation
0.012003
A vision-based haptic exploration · ICRA 2003

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

active vision · 0.1active touch · 0.1
YearPublicationVenuePosition
2003 A vision-based haptic exploration
abstract
Real-world objects exhibit rich physical interaction behaviours on contact. Such behaviours depend on how heavy and hard it is when held, how its surface feels when touched, how it deforms on contact, etc. Recently, there are thus growing needs for haptic exploration to estimate and extract such physical object properties as mass, friction, elasticity, relational constraints etc.. In this paper, we propose a novel paradigm, we call haptic vision,which is a vision-based haptic exploration approach toward an automatic construction of reality-based virtual space simulator, by augmenting active vision with active touch. We apply this technique to mass, relational constraints estimation and elasticity, and use these results to construct virtual object manipulation simulator. Experimental results show that feasibility and validity of the proposed approach.
Hiromi T. Tanaka, Kiyotaka Kushihama, Naoki Ueda, Shinichi Hirai
ICRA2