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Andrew Charway

dblp:317/6814 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
jumping robot
0.612022
PogoDrone: Design, Model, and Control of a Jumping Quadrotor · ICRA 2022
Robotics › Legged, aerial and field robots › aerial robot control › UAV control
quadrotor control
0.612022
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
YearPublicationVenuePosition
2022 PogoDrone: Design, Model, and Control of a Jumping Quadrotor
abstract
We 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
ICRA3