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K. R. Kim

dblp:126/5154 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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 navigation and mapping · 67% Motion planning and robot control · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › localization
dead reckoning
0.011996
Dead-reckoning for a two-wheeled mobile robot on curved surfaces · ICRA 1996
Robotics › Motion planning and robot control › robot kinematics
mobile robot kinematics
0.011996
Dead-reckoning for a two-wheeled mobile robot on curved surfaces · ICRA 1996
Robotics › Robot navigation and mapping › localization › robot localization
mobile robot localization
0.011996
Dead-reckoning for a two-wheeled mobile robot on curved surfaces · ICRA 1996

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

dead-reckoning formula · 0.0
YearPublicationVenuePosition
1996 Dead-reckoning for a two-wheeled mobile robot on curved surfaces
abstract
Recently various kinds of tasks such as the inspections on the curved wall of a vessel are performed by mobile robots. In those cases, the robot has to travel on curved surfaces along the prespecified path and has to know its current position for the successful accomplishment of the tasks. In this paper, we propose a dead-reckoning formula for a two-wheeled mobile robot moving on a curved plane, and illustrate the formula with examples for cylindrical surfaces. The performance of the proposed algorithm will be analyzed through a series of experiments by the magnet wheeled mobile robot developed in our laboratory.
K. R. Kim, J. C. Lee
ICRA1