Demo Data from EDBT 2026 / reviewers in the wild / expert
V. Seront
dblp:231/3152
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1990
—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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control › disturbance rejection
friction compensation |
0.0 | 1 | 1990 | Robust adaptive friction compensation · ICRA 1990 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 1990 | Robust adaptive friction compensation · ICRA 1990 |
Robotics › Motion planning and robot control › robot control › adaptive control
robust adaptive control |
0.0 | 1 | 1990 | Robust adaptive friction compensation · ICRA 1990 |
Methods — techniques the papers use, named apart from their topics
tustin friction model · 0.0robust linear compensator · 0.0adaptive control · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Robust adaptive friction compensationabstractA new control scheme is presented which makes the closed-loop system properties robust under the eventuality of inexact friction compensation which may provoke limit cycles. This control design has the advantage that the possible oscillations can be reduced in amplitude and modified in frequency independently of the closed-loop system specifications. Also proposed is an approximate Tustin model, as a basis for the friction compensation, obtained by including a priori information about the lubricant coefficients. Simulations have shown that this model gives better accuracy than other models and that, together with the robust linear compensator, it improves adaptive transients.> Carlos Canudas-de-Wit, V. Seront |
ICRA | 2 |