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Kohei Kawata

dblp:68/6174 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
—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.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction
teleoperation
0.112007
Design and Evaluation of a Telepresence Vision System for Manipulation Tasks · ICRA 2007
Human-robot interaction › teleoperation
telemanipulation
0.012007
Design and Evaluation of a Telepresence Vision System for Manipulation Tasks · ICRA 2007

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

permissible visual error measure · 0.1DOF minimization · 0.1
YearPublicationVenuePosition
2007 Design and Evaluation of a Telepresence Vision System for Manipulation Tasks
abstract
This paper describes the design of a new telepresence vision system developed to realize a higher immersive feeling for telemanipulation tasks. A new measure of 'permissible visual errors' was defined. Making use of this new measure, a minimal vision system is designed, containing only the strictly necessary DOF's (degrees of freedom) while keeping the vision errors below an experimentally obtained set of permissible errors. The result is a 4DOF camera system, containing two rotational joints (pan-tilt) and two prismatic joints (horizontal plane.) An evaluation of the system was done through a telemanipulation task using a unified hand/arm teleoperation testbed. It was found that during use of the vision system almost all visual errors remained within the permissible errors. The proposed vision system design framework suggests to break away from simply (and often blindly) mimicking human appearance. Although we only dealt with the vision system design, the same concept could be used when designing any other part of a robot.
Koji Shiratsuchi, Kohei Kawata, Emmanuel B. Vander Poorten, Yasuyoshi Yokokohji
ICRA2