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Asma Seddaoui

dblp:245/0284 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
adaptive control
0.412019
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
0.412019
Adaptive H∞ Controller for Precise Manoeuvring of a Space Robot · ICRA 2019
Robotics › Motion planning and robot control
robot control
0.412019
Adaptive H∞ Controller for Precise Manoeuvring of a Space Robot · ICRA 2019
Robotics › Legged, aerial and field robots
space robotics
0.412019
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
YearPublicationVenuePosition
2019 Adaptive H∞ Controller for Precise Manoeuvring of a Space Robot
abstract
A 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
ICRA1