Ahmad Kourani

dblp:298/0583 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · unresolved

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
Legged, aerial and field robots · 87% Motion planning and robot control · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.512021
A Tethered Quadrotor UAV-Buoy System for Marine Locomotion · ICRA 2021
Robotics › Legged, aerial and field robots › aerial robots
quadrotor
0.512021
A Tethered Quadrotor UAV-Buoy System for Marine Locomotion · ICRA 2021
Robotics › Motion planning and robot control › robot control
trajectory tracking
0.112021
A Tethered Quadrotor UAV-Buoy System for Marine Locomotion · ICRA 2021

Methods — techniques the papers use, named apart from their topics

polar coordinate control · 0.5euler-lagrange modeling · 0.5
YearPublicationVenuePosition
2021 A Tethered Quadrotor UAV-Buoy System for Marine Locomotion
abstract
Unmanned aerial vehicles (UAVs) are finding their way into offshore applications. In this work, we postulate an original system that entails a marine locomotive quadrotor UAV that manipulates the velocity of a floating buoy by means of a cable. By leveraging the advantages of UAVs relative to high speed, maneuverability, ease of deployment, and wide field of vision, the proposed UAV−buoy system paves the way in front of a variety of novel applications. The dynamic model that couples the buoy, UAV, cable, and water environment is presented using the Euler-Lagrange method. A stable control system design is proposed to manipulate the forward-surge speed of the buoy under two constraints: maintaining the cable in a taut state, and keeping the buoy in contact with the water surface. Polar coordinates are used in the controller design process to attain correlated effects on the tracking performance, whereby each control channel independently affects one control parameter. This results in improved performance over traditional Cartesian-based velocity controllers, as demonstrated via numerical simulations in wave-free and wavy seas.
Ahmad Kourani, Naseem A. Daher
ICRA1