Demo Data from VLDB 2026 / reviewers in the wild / expert
Ludovic Savoure
dblp:05/254
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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 calibration
kinematic parameter identification |
0.1 | 1 | 2006 | An Improved Method for the Geometrical Calibration of Parallelogram-based Parallel Robots · ICRA 2006 |
Robotics › Motion planning and robot control › robot control
parallel robot control |
0.1 | 1 | 2006 | An Improved Method for the Geometrical Calibration of Parallelogram-based Parallel Robots · ICRA 2006 |
Robotics › Motion planning and robot control
robot calibration |
0.1 | 1 | 2006 | An Improved Method for the Geometrical Calibration of Parallelogram-based Parallel Robots · ICRA 2006 |
Methods — techniques the papers use, named apart from their topics
parameter identification · 0.1linear approximation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | An Improved Method for the Geometrical Calibration of Parallelogram-based Parallel RobotsabstractThis paper presents an improved method for the geometrical calibration of parallel robots for which the structure is based upon some parallelogram mechanisms. Its originality is to identify the complete geometry of the mechanism's parallelograms, and to compensate the positioning error of the TCP (tool centre point), due to the infinitesimal rotation of the traveling plate, induced by the parallelogram geometrical errors. The main difficulties are: (i) to derive the calibration model relative to all geometrical parameters, and (ii) to reuse the identified errors in a control model in order to compensate the positioning errors. In fact, the position relationship taking into account the full geometry of the parallelograms is difficult, not to say impossible, to derive in a close form; therefore a linear approximation of the model is proposed. The formulas necessary to run the method on a Delta robot are given. Then a simple mechanism is used to illustrate the benefits of this method compared to classical ones Ludovic Savoure, Patrick Maurine, David Corbel, Sébastien Krut |
ICRA | 1 |