EDBT 2026 Demo / reviewers in the wild / expert
Mael Feurgard
dblp:383/4385
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0009-6648-7353ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021
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% Legged, aerial and field robots · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
aerial robots |
0.8 | 1 | 2024 | Extending Guiding Vector Field to track unbounded UAV paths · ICRA 2024 |
Robotics › Motion planning and robot control
path following |
0.8 | 1 | 2024 | Extending Guiding Vector Field to track unbounded UAV paths · ICRA 2024 |
Robotics › Motion planning and robot control › path following
vector field guidance |
0.8 | 1 | 2024 | Extending Guiding Vector Field to track unbounded UAV paths · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
guiding vector field · 0.8dynamic step adaptation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Extending Guiding Vector Field to track unbounded UAV pathsabstractA recent advance in vector field path following is the introduction of the Parametric Guiding Vector Field method. It allows for singularity-free vector fields with strong convergence guarantees, usable even for self-intersecting paths. However, the method requires significant gain tuning for practical use. In particular, for unbounded paths, the gains will inevitably become ill-suited for efficient path following. We propose a method to overcome this issue by introducing a dynamic step adaptation strategy, which provides additional normalization properties to the field. This allows the following of unbounded curves and reduces the number of gains to tune. The proposed improvements are verified in simulations using the PaparazziUAV software. Mael Feurgard, Gautier Hattenberger, Simon Lacroix |
ICRA | 1 |