Demo Data from EDBT 2026 / reviewers in the wild / expert
Rebecca Steinmeyer
dblp:246/7944
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none
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 |
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 › Legged, aerial and field robots
aerial robots |
0.4 | 1 | 2019 | Yaw Torque Authority for a Flapping-Wing Micro-Aerial Vehicle · ICRA 2019 |
Robotics › Legged, aerial and field robots › aerial robots › flapping-wing robot
flapping-wing micro air vehicle |
0.4 | 1 | 2019 | Yaw Torque Authority for a Flapping-Wing Micro-Aerial Vehicle · ICRA 2019 |
Robotics › Motion planning and robot control
robot control |
0.4 | 1 | 2019 | Yaw Torque Authority for a Flapping-Wing Micro-Aerial Vehicle · ICRA 2019 |
Robotics › Motion planning and robot control › robot control › flight control
yaw control |
0.4 | 1 | 2019 | Yaw Torque Authority for a Flapping-Wing Micro-Aerial Vehicle · ICRA 2019 |
Methods — techniques the papers use, named apart from their topics
split-cycle flapping · 0.4iso-lift regime · 0.4heading controller · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Yaw Torque Authority for a Flapping-Wing Micro-Aerial VehicleabstractFlapping-wing micro-aerial vehicles rely on subtle changes in the kinematics of high-frequency wing flapping to produce roll, pitch, and yaw torques. To generate yaw torque, the Harvard RoboBee changes the ratio of upstroke to downstroke speed (“split-cycling”) by applying a second harmonic to the fundamental flapping signal for each wing. However, since flapping typically occurs near resonance (for efficiency), these higher harmonics are filtered out by the transmission and actuator dynamics. Therefore, reliable yaw control authority has proven elusive. We propose a method to generate yaw torque sufficient for in-flight control by using split-cycle flapping in an “iso-lift” regime, to mitigate resonant filtering by decreasing the flapping frequency and increasing the drive voltage, which produces lift identical to typical flight conditions. We model the expected torque at iso-lift conditions and apply this method to the physical RoboBee, achieving reliable, controllable yaw torque. Finally, we demonstrate yaw control with a simple heading controller, achieving a step response with a time constant an order of magnitude faster than previous attempts. Rebecca Steinmeyer, Nak-seung Patrick Hyun, E. Farrell Helbling, Robert J. Wood |
ICRA | 1 |