Demo Data from EDBT 2026 / reviewers in the wild / expert
Asma Seddaoui
dblp:245/0284
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · unresolved
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 · 75% Legged, aerial and field robots · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control
adaptive control |
0.4 | 1 | 2019 | Adaptive H∞ Controller for Precise Manoeuvring of a Space Robot · ICRA 2019 |
Robotics › Motion planning and robot control › robot control › robust control
h-infinity control |
0.4 | 1 | 2019 | Adaptive H∞ Controller for Precise Manoeuvring of a Space Robot · ICRA 2019 |
Robotics › Motion planning and robot control
robot control |
0.4 | 1 | 2019 | Adaptive H∞ Controller for Precise Manoeuvring of a Space Robot · ICRA 2019 |
Robotics › Legged, aerial and field robots
space robotics |
0.4 | 1 | 2019 | Adaptive H∞ Controller for Precise Manoeuvring of a Space Robot · ICRA 2019 |
Methods — techniques the papers use, named apart from their topics
nonlinear h-infinity control · 0.4adaptive control · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Adaptive H∞ Controller for Precise Manoeuvring of a Space RobotabstractA space robot working in a controlled-floating mode can be used for performing in-orbit telescope assembly through simultaneously controlling the motion of the spacecraft base and its robotic arm. Handling and assembling optical mirrors requires the space robot to achieve slow and precise manoeuvres regardless of the disturbances and errors in the trajectory. The robustness offered by the nonlinear H∞controller, in the presence of environmental disturbances and parametric uncertainties, makes it a viable solution. However, using fixed tuning parameters for this controller does not always result in the desired performance as the arm's trajectory is not known a priori for orbital assembly missions. In this paper, a complete study on the impact of the different tuning parameters is performed and a new adaptive H∞controller is developed based on bounded functions. The simulation results presented show that the proposed adaptive H∞controller guarantees robustness and precise tracking using a minimal amount of forces and torques for assembly operations using a small space robot. Asma Seddaoui, Mini C. Rai, Steve Eckersley |
ICRA | 1 |