Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jeong-Hwan Kwak
dblp:69/9255
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Human-computer interaction and ubiquitous computing · 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.
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
teleoperation |
0.1 | 1 | 2011 | Terrain-adaptive and user-friendly remote control of wheel-track hybrid mobile robot platform · HRI 2011 |
Human-robot interaction
field robotics |
0.0 | 1 | 2011 | Terrain-adaptive and user-friendly remote control of wheel-track hybrid mobile robot platform · HRI 2011 |
Human-robot interaction › field robotics
search and rescue robotics |
0.0 | 1 | 2011 | Terrain-adaptive and user-friendly remote control of wheel-track hybrid mobile robot platform · HRI 2011 |
Methods — techniques the papers use, named apart from their topics
navigation experiments · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Terrain-adaptive and user-friendly remote control of wheel-track hybrid mobile robot platformabstractVarious robot platforms have been designed and developed to perform given tasks in a hazardous environment for surveillance, reconnaissance, search and rescue, etc. We considered a terrain-adaptive and transformable hybrid robot platform that is equipped for rapid navigation on flat floors and good performance in overcoming stairs or obstacles. The mode transition is determined and implemented by adaptive driving mode control of the mobile robot. The terrain-adaptive and user-friendly remote control was verified through its navigation performance experiments in real and test-bed environments. Yoon-Gu Kim, Jeong-Hwan Kwak, Jinung An |
HRI | 2 |