Demo Data from VLDB 2026 / reviewers in the wild / expert
Andrew Charway
dblp:317/6814
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 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 |
Legged, aerial and field robots · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
jumping robot |
0.6 | 1 | 2022 | PogoDrone: Design, Model, and Control of a Jumping Quadrotor · ICRA 2022 |
Robotics › Legged, aerial and field robots › aerial robot control › UAV control
quadrotor control |
0.6 | 1 | 2022 | PogoDrone: Design, Model, and Control of a Jumping Quadrotor · ICRA 2022 |
Methods — techniques the papers use, named apart from their topics
position control · 0.6hybrid controller · 0.6attitude control · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | PogoDrone: Design, Model, and Control of a Jumping QuadrotorabstractWe present a design, model, and control for a novel jumping-flying robot that is called PogoDrone. The robot is composed of a quadrotor with a passive mechanism for jumping. The robot can continuously jump in place or fly like a normal quadrotor. Jumping in place allows the robot to quickly move and operate very close to the ground. For instance, in agricultural applications, the jumping mechanism allows the robot to take samples of soil. We propose a hybrid controller that switches from attitude to position control to allow the robot to fall horizontally and recover to the original position. We compare the jumping mode with the hovering mode to analyze the energy consumption. In simulations, we evaluate the effect of different factors on energy consumption. In real experiments, we show that our robot can repeatedly impact the ground, jump, and fly in a physical environment. Brian Zhu, Jiawei Xu 0005, Andrew Charway, David Saldana |
ICRA | 3 |