Demo Data from EDBT 2026 / reviewers in the wild / expert
Wonseok Ha
dblp:238/0495
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · unresolved
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 |
Motion planning and robot control · 100% |
Topics — the 4 heaviest of 4, 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 |
0.4 | 1 | 2019 | A Robust Tracking Controller for Robot Manipulators: Embedding Internal Model of Disturbances · ICRA 2019 |
Robotics › Motion planning and robot control
robot control |
0.4 | 1 | 2019 | A Robust Tracking Controller for Robot Manipulators: Embedding Internal Model of Disturbances · ICRA 2019 |
Robotics › Motion planning and robot control › robot control
robust control |
0.4 | 1 | 2019 | A Robust Tracking Controller for Robot Manipulators: Embedding Internal Model of Disturbances · ICRA 2019 |
Robotics › Motion planning and robot control
manipulator control |
0.1 | 1 | 2019 | A Robust Tracking Controller for Robot Manipulators: Embedding Internal Model of Disturbances · ICRA 2019 |
Methods — techniques the papers use, named apart from their topics
stability analysis · 0.4simulation · 0.4internal model principle · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | A Robust Tracking Controller for Robot Manipulators: Embedding Internal Model of DisturbancesabstractThis paper presents a robust controller for uncertain robot manipulators subject to disturbances which are composed of sinusoids. The controller employs the disturbance observer based controller which can effectively estimate and compensate the effect of plant uncertainties and the disturbances. Assuming that the frequencies of sinusoids are known, we embed the internal model of disturbances into the proposed controller so that the design parameters of the controller can be chosen without using the magnitude of disturbance or its time derivative. A rigorous stability analysis shows that the closed-loop system under the proposed controller behaves like the nominal closed-loop system free of disturbances. Simulation results for a 2-DOF manipulator show the effectiveness of the proposed controller. Wonseok Ha, Juhoon Back |
ICRA | 1 |