EDBT 2026 Demo / reviewers in the wild / expert
R. Miot
dblp:353/5819
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 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 · 56% Legged, aerial and field robots · 44% |
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 › flapping-wing robot
flapping-wing micro air vehicle |
0.7 | 1 | 2023 | Vector Field Aided Trajectory Tracking by a 10-gram Flapping-Wing Micro Aerial Vehicle · ICRA 2023 |
Robotics › Motion planning and robot control › robot control
trajectory tracking |
0.7 | 1 | 2023 | Vector Field Aided Trajectory Tracking by a 10-gram Flapping-Wing Micro Aerial Vehicle · ICRA 2023 |
Robotics › Motion planning and robot control › robot control › nonlinear control
vector field control |
0.2 | 1 | 2023 | Vector Field Aided Trajectory Tracking by a 10-gram Flapping-Wing Micro Aerial Vehicle · ICRA 2023 |
Methods — techniques the papers use, named apart from their topics
vector field method · 0.7system identification · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Vector Field Aided Trajectory Tracking by a 10-gram Flapping-Wing Micro Aerial VehicleabstractHere we describe how a 10-gram Flapping-Wing Micro Aerial Vehicle (FWMAV) was able to perform an automatic trajectory tracking task based on a vector field method. In this study, the desired heading was provided by a vector field which was computed depending on the desired trajectory. The FWMAV's heading was changed by a rear steering mechanism. This rear mechanism simultaneously (i) tenses one wing and relaxes the opposite wing, and (ii) moves the rudder in the same direction as the wing is relaxed. Due to the complex dynamics, system identification methods were used to identify simple linear models using a set of dedicated free flight tests. This yaw and roll simple models help to adjust the yaw controller and the inner loop roll controller. The experimental results obtained here show that a time-independent vector field-based strategy is robust to various initial position and/or speed conditions. The task of tracking circular and 8-shaped trajectories was accomplished successfully over tens of meters. Abdoullah Ndoye, Jose J. Castillo-Zamora, S. Samorah-Laki, R. Miot, E. Van Ruymbeke, Franck Ruffier |
ICRA | 4 |