Demo Data from EDBT 2026 / reviewers in the wild / expert
Fazal-ur Rehman
dblp:79/11235
· 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 · 100% |
Topics — the 1 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 › stabilization control
feedback stabilization |
0.0 | 1 | 1996 | Guiding functions in application to feedback control of a robotic platform · ICRA 1996 |
Methods — techniques the papers use, named apart from their topics
lyapunov analysis · 0.0guiding functions · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Guiding functions in application to feedback control of a robotic platformabstractThis paper presents a novel, systematic approach to the construction of feedback control for stabilization to a set point of drift free systems. The method relies on the introduction of a set of guiding functions whose sum vanishes only at the reference set point. The guiding functions are not Lyapunov functions, however, a comparison of their values allows one to determine a desired direction of system motion and permits construction of a sequence of controls such that the sum of the guiding functions decreases in an average sense. The method is applied to control a model of a four wheeled platform which can serve as a support for a mobile robot. Hannah Michalska, Fazal-ur Rehman |
ICRA | 2 |