Demo Data from EDBT 2026 / reviewers in the wild / expert
Seung Do Kim
dblp:126/5013
· DBLP profile ↗
1ranked-venue papers
0as 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 · 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 |
Robot navigation and mapping · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping › mobile robot navigation › sensor-based navigation
sonar-based navigation |
0.0 | 1 | 1996 | A method of indoor mobile robot navigation using acoustic landmarks · ICRA 1996 |
Robotics › Robot navigation and mapping › mobile robot navigation › indoor navigation
indoor mobile robot navigation |
0.0 | 1 | 1996 | A method of indoor mobile robot navigation using acoustic landmarks · ICRA 1996 |
Methods — techniques the papers use, named apart from their topics
sonar sensing · 0.0pattern matching · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | A method of indoor mobile robot navigation using acoustic landmarksabstractIn this paper, a mobile robot is assumed to be equipped with a sonar and is capable of locating the acoustic reflectors. The acoustic landmarks are chosen from the acoustic reflectors whose positions are independent of the mobile robot position. By matching the two dimensional patterns of the acoustic landmarks and the acoustic reflectors that are newly recognized, the current mobile robot position is determined. A path is constructed by adding up the acoustic landmarks along which a mobile robot can navigate without error accumulation. Experiments were performed to verify the proposed method. Joong Hyup Ko, Seung Do Kim, Myung Jin Chung |
ICRA | 2 |