EDBT 2026 Demo / reviewers in the wild / expert
Kamil Cetin
dblp:158/0467
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021
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 · 50% Motion planning and robot control · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control
sliding mode control |
0.6 | 1 | 2022 | Sliding Mode Controller for Positioning of an Underwater Vehicle Subject to Disturbances and Time Delays · ICRA 2022 |
Robotics › Legged, aerial and field robots › underwater robotics
underwater vehicle control |
0.6 | 1 | 2022 | Sliding Mode Controller for Positioning of an Underwater Vehicle Subject to Disturbances and Time Delays · ICRA 2022 |
Methods — techniques the papers use, named apart from their topics
time-delay estimation · 0.6PID control · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Sliding Mode Controller for Positioning of an Underwater Vehicle Subject to Disturbances and Time DelaysabstractUnmanned underwater vehicles are crucial for deep-sea exploration and inspection without imposing any danger to human life due to extreme environmental conditions. But, designing a robust controller that can cope with model uncertainties, external disturbances, and time delays for such vehicles is a challenge. This paper implements a sliding mode position control algorithm with a time-delay estimation term to a remotely operated underwater vehicle to deal with disturbances, such as waves, and time delays. The controller is implemented on an underwater vehicle (BlueRov) and compared with a proportional-integral-derivative (PID) controller in a wave tank with different disturbances and when there exist delays within the communication channel. The experimental results show that the proposed control method provides better performance than the conventional PID in the presence of extreme disturbances with less control efforts. Harun Tugal, Kamil Cetin, Xiaoran Han, Ibrahim B. Küçükdemiral, Joshua Roe, Yvan R. Petillot, Mustafa Suphi Erden |
ICRA | 2 |