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Rebecca Steinmeyer

dblp:246/7944 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.412019
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
0.412019
Yaw Torque Authority for a Flapping-Wing Micro-Aerial Vehicle · ICRA 2019
Robotics › Motion planning and robot control
robot control
0.412019
Yaw Torque Authority for a Flapping-Wing Micro-Aerial Vehicle · ICRA 2019
Robotics › Motion planning and robot control › robot control › flight control
yaw control
0.412019
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
YearPublicationVenuePosition
2019 Yaw Torque Authority for a Flapping-Wing Micro-Aerial Vehicle
abstract
Flapping-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
ICRA1