Itsuo Yoshida

dblp:45/11357 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1995
—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
Legged, aerial and field robots · 87% Robot navigation and mapping · 13%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
field robotics
0.011995
Internal Pipe Inspection Robot · ICRA 1995
Robotics › Legged, aerial and field robots › field robotics › pipeline robotics
pipeline inspection robot
0.011995
Internal Pipe Inspection Robot · ICRA 1995
Robotics › Robot navigation and mapping
visual navigation
0.011995
Internal Pipe Inspection Robot · ICRA 1995

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

magnetic wheel locomotion · 0.0fiber optic communication · 0.0
YearPublicationVenuePosition
1995 Internal Pipe Inspection Robot
abstract
This paper describes a new mechanism, communication system, and vision system of an internal pipe inspection robot. To date, inspection robots have had such limitations as their ability to turn in a T-shaped pipe or move in a plug valve. The new mechanism based on our dual magnetic wheels, resembling a crawler, not only overcomes the limitation but enables the robot to climb over sharp obstacles like sleeve and dresser joints. Another drawback of earlier robots is that the friction between the pipe and the cables for communication and power supply makes it difficult to move a long distance. A fiber optic communication system can reduce the friction. The new vision system has been significantly miniaturized, enabling it to clearly view and inspect the welded section underneath the robot while gazing ahead for navigation. An experimental inspection robot has been successfully made to confirm the efficiency of the approach.
Yoshifumi Kawaguchi, Itsuo Yoshida, H. Kurumatani, Takashi Kikuta
ICRA2