Demo Data from EDBT 2026 / reviewers in the wild / expert
Y. P. Cheung
dblp:126/4921
· 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 |
Motion planning and robot control · 67% Planning, search and constraint satisfaction · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › intelligent control
fuzzy control |
0.0 | 1 | 1996 | Fuzzy-logic control for differential-wheel-drive AGVs using linear opto-sensor arrays · ICRA 1996 |
Robotics › Motion planning and robot control › robot control
output feedback control |
0.0 | 1 | 1996 | Fuzzy-logic control for differential-wheel-drive AGVs using linear opto-sensor arrays · ICRA 1996 |
Robotics › Motion planning and robot control
path following |
0.0 | 1 | 1996 | Fuzzy-logic control for differential-wheel-drive AGVs using linear opto-sensor arrays · ICRA 1996 |
Methods — techniques the papers use, named apart from their topics
popov criterion · 0.0linear control · 0.0hurwitz criterion · 0.0fuzzy logic · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Fuzzy-logic control for differential-wheel-drive AGVs using linear opto-sensor arraysabstractThe performance of automatic guided vehicles (AGVs) is gauged by their position and orientation errors. Sometimes the orientation errors are not measurable, and output feedback using position errors only is employed. In this paper, a controller using output feedback is proposed for a differential-wheel-drive AGV with a simple linear array of 64/spl times/1 opto-sensors. A linear controller is first developed. The performance of the linear controller is further improved using fuzzy logic. Two fuzzy-logic controllers are accordingly formed. Stability based on the Hurwitz criterion, the Popov criterion, and the phase-plane method is demonstrated. Experimental results using a laboratory AGV are provided to illustrate the effectiveness of the proposed controllers. Shiu Kit Tso, Y. H. Fung, Y. P. Cheung |
ICRA | 3 |