Demo Data from SIGIR 2026 / reviewers in the wild / expert
Georgios C. Gavridis
dblp:159/1855
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
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 · 56% Motion planning and robot control · 44% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › aerial robots › aerial physical interaction
aerial manipulation |
0.2 | 1 | 2015 | Mechanical design, modelling and control of a novel aerial manipulator · ICRA 2015 |
Robotics › Legged, aerial and field robots
aerial robots |
0.2 | 1 | 2015 | Mechanical design, modelling and control of a novel aerial manipulator · ICRA 2015 |
Robotics › Motion planning and robot control › manipulator control
end-effector control |
0.2 | 1 | 2015 | Mechanical design, modelling and control of a novel aerial manipulator · ICRA 2015 |
Robotics › Motion planning and robot control › robot control › adaptive control
adaptive backstepping control |
0.1 | 1 | 2015 | Mechanical design, modelling and control of a novel aerial manipulator · ICRA 2015 |
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2015 | Mechanical design, modelling and control of a novel aerial manipulator · ICRA 2015 |
Methods — techniques the papers use, named apart from their topics
kinematic modeling · 0.2dynamic modeling · 0.2adaptive backstepping · 0.2CAD · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Mechanical design, modelling and control of a novel aerial manipulatorabstractIn this paper a novel aerial manipulation system is proposed. The mechanical structure of the system, the number of thrusters and their geometry will be derived from technical optimization problems. The aforementioned problems are defined by taking into consideration the desired actuation forces and torques applied to the end-effector of the system. The framework of the proposed system is designed in a CAD Package in order to evaluate the system parameter values. Following this, the kinematic and dynamic models are developed and an adaptive backstepping controller is designed aiming to control the exact position and orientation of the end-effector in the Cartesian space. Finally, the performance of the system is demonstrated through a simulation study, where a manipulation task scenario is investigated. Alexandros Nikou, Georgios C. Gavridis, Kostas J. Kyriakopoulos |
ICRA | 2 |