Demo Data from EDBT 2026 / reviewers in the wild / expert
Phillip Tokumaru
dblp:261/3060
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—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 · 50% Motion planning and robot control · 50% |
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
adaptive nonlinear control |
0.4 | 1 | 2020 | Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing · ICRA 2020 |
Robotics › Legged, aerial and field robots
aerial robot control |
0.4 | 1 | 2020 | Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing · ICRA 2020 |
Robotics › Motion planning and robot control
robot control |
0.4 | 1 | 2020 | Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing · ICRA 2020 |
Robotics › Legged, aerial and field robots › aerial robot control
VTOL UAV control |
0.4 | 1 | 2020 | Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing · ICRA 2020 |
Methods — techniques the papers use, named apart from their topics
composite adaptation · 0.4airflow vector sensing · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector SensingabstractFixed-wing vertical take-off and landing (VTOL) aircraft pose a unique control challenge that stems from complex aerodynamic interactions between wings and rotors. Thus, accurate estimation of external forces is indispensable for achieving high performance flight. In this paper, we present a composite adaptive nonlinear tracking controller for a fixed- wing VTOL. The method employs online adaptation of linear force models, and generates accurate estimation for wing and rotor forces in real-time based on information from a three-dimensional airflow sensor. The controller is implemented on a custom-built fixed-wing VTOL, which shows improved velocity tracking and force prediction during the transition stage from hover to forward flight, compared to baseline flight controllers. Xichen Shi, Patrick Spieler, Ellande Tang, Elena-Sorina Lupu, Phillip Tokumaru, Soon-Jo Chung |
ICRA | 5 |