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Sang Kyeong Park

dblp:51/3882 · 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.

Artificial intelligence
1 paper
Motion planning and robot control · 25% Robot manipulation · 25% Robot navigation and mapping · 25%

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

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
camera pose estimation		 0.112007
Remote control of a moving robot using the virtual link · ICRA 2007
Robotics › Robot navigation and mapping
localization		 0.112007
Remote control of a moving robot using the virtual link · ICRA 2007
Robotics › Robot manipulation
remote operation		 0.112007
Remote control of a moving robot using the virtual link · ICRA 2007
Robotics › Motion planning and robot control
robot control		 0.112007
Remote control of a moving robot using the virtual link · ICRA 2007

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

landmark recognition · 0.1gyroscope · 0.1
YearPublicationVenuePosition
2007 Remote control of a moving robot using the virtual link
abstract
A new remote control method of a moving robot is proposed, where a moving robot is moved according to the pointing position and orientation of the remote controller. The remote controller consists of the camera and gyroscopes. The landmark in a moving robot is recognized by the camera in the remote controller and a robot is moved in the camera's pointing position and orientation. The 'virtual link' term is used since the robot is moved as if there is a link between the robot and the remote controller. Gyroscopes are also used in the remote controller so that fast estimation of the camera's pointing position and orientation is possible. The proposed method is verified through experiments.
Young Soo Suh, Sang Kyeong Park, Dae-Nyeon Kim, Kang-Hyun Jo
 ICRA2