Demo Data from EDBT 2026 / reviewers in the wild / expert
N. Arun Alagappan
dblp:369/5791
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0003-7437-9017ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 |
0.8 | 1 | 2024 | Design, Modeling, and Control of a Coaxial Drone · IEEE Trans. Robotics 2024 |
Robotics › Motion planning and robot control › robot control
flight control |
0.8 | 1 | 2024 | Design, Modeling, and Control of a Coaxial Drone · IEEE Trans. Robotics 2024 |
Robotics › Motion planning and robot control › robot control › actuator control
thrust vectoring |
0.2 | 1 | 2024 | Design, Modeling, and Control of a Coaxial Drone · IEEE Trans. Robotics 2024 |
Methods — techniques the papers use, named apart from their topics
nonlinear flight modeling · 0.8control allocation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Design, Modeling, and Control of a Coaxial DroneabstractVarious quadrotor drones have been developed in recent years, mainly focusing on either improving maximum thrust per platform area or flight maneuverability. Evidently, achieving both advantages simultaneously is a challenging task, since they call for opposing rotor requirements. Specifically, improving the drone's maximum thrust per platform area mainly requires reducing the number of rotors to make way for larger and more powerful rotors. While this can be an effective method to increase overall thrust, improving flight maneuverability requires a greater number of rotors to generate larger rotating torques or to increase the thrust vectoring capability. To address this challenge, we design a novel coaxial drone with two contra-rotating rotors for high thrust efficiency while enabling independent dual-axis rotor rotation to maintain maneuverability along the roll and pitch axes. The thrust vectoring capability is provided by two dedicated servo motors connected vertically in series with the coaxial propellers to produce a compact and elongated fuselage frame. A nonlinear flight model in six degrees of freedom is developed for the underactuated system, incorporating four control inputs from the two propellers and servos respectively. Consequently, a nonlinear control allocation approach is proposed such that the drone can produce a desired control force and yaw torque to stabilize the drone's position and yaw angle. For the uncontrolled roll and pitch dynamics, a damping component is added such that the roll and pitch angular velocities can also be stabilized. Both numerical simulations and real experiments are conducted to validate the design of the drone and the effectiveness of the proposed control strategy. Liangming Chen, Jiaping Xiao, Yumin Zheng, N. Arun Alagappan, Mir Feroskhan |
IEEE Trans. Robotics | 4 |