Demo Data from EDBT 2026 / reviewers in the wild / expert
Kyung-Lyong Han
dblp:62/7809 · also Kyung-Lyoung Han
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Human-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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 |
Motion planning and robot control · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control › observer-based control
disturbance observer-based control |
0.2 | 1 | 2016 | Powered upper-limb control using passivity-based nonlinear disturbance observer for unknown payload carrying applications · ICRA 2016 |
Robotics › Motion planning and robot control › robot control
passivity-based control |
0.2 | 1 | 2016 | Powered upper-limb control using passivity-based nonlinear disturbance observer for unknown payload carrying applications · ICRA 2016 |
Robotics › Motion planning and robot control
robot control |
0.2 | 1 | 2016 | Powered upper-limb control using passivity-based nonlinear disturbance observer for unknown payload carrying applications · ICRA 2016 |
Methods — techniques the papers use, named apart from their topics
passivity · 0.2nonlinear disturbance observer · 0.2gain tuning · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Powered upper-limb control using passivity-based nonlinear disturbance observer for unknown payload carrying applicationsabstractThis paper proposes a passivity-based nonlinear disturbance observer (DOB) design for a powered upper-limb robot control. The proposed DOB allows for the nonlinearities of the robot dynamics, whereas the typical DOB designs cannot. Moreover, by virtue of the passivity property, human operator and environmental interactions can be embedded in the control loop. As a DOB, the proposed approach has a disturbance observation property that makes the actual robot behave like a nominal model selected by the user. Performance analysis proposes a gain tuning rule. In experimental validation, actual powered upper-limb robot is used to perform unknown payload carrying applications. Minjun Kim 0003, Woongyong Lee, Jae Yeon Choi, Yong Sik Park, Goobong Chung, Kyung-Lyong Han, Il Seop Choi, Il Hong Suh, Youngjin Choi, Wan Kyun Chung |
ICRA | 7 |
| 2010 | The sources of position errors of omni-directional mobile robot with Mecanum wheelabstractThe use of conventional kinematic equations for Mecanum wheel based omni-directional mobile robot suffers from position errors mainly because of slips on the wheels. To overcome the problem, we first identify the sources that originate position errors and then introduce the wheel parameter adjustment to reduce the position errors of the robot system. The experimental results show that the presented wheel parameter adjustment indeed reduces position errors and provides a good calibration mechanism. Kyung-Lyong Han, Hyosin Kim, Jin S. Lee |
SMC | 1 |