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Paul Lassen

dblp:324/6241 · DBLP profile ↗
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1ranked-venue papers
1as 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 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 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 · 87% Motion planning and robot control · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › aerial robots
aerial physical interaction
0.612022
Can your drone touch? Exploring the boundaries of consumer-grade multirotors for physical interaction · ICRA 2022
Robotics › Legged, aerial and field robots
aerial robots
0.612022
Can your drone touch? Exploring the boundaries of consumer-grade multirotors for physical interaction · ICRA 2022
Robotics › Motion planning and robot control
robot control
0.212022
Can your drone touch? Exploring the boundaries of consumer-grade multirotors for physical interaction · ICRA 2022

Methods — techniques the papers use, named apart from their topics

experimental validation · 0.6cascaded position-attitude control · 0.6
YearPublicationVenuePosition
2022 Can your drone touch? Exploring the boundaries of consumer-grade multirotors for physical interaction
abstract
Aerial robots have been widely used as sensor carrying platforms in a wide range of application, mainly because using this type of systems for physical interaction seems to be an unsuitable operation. This is not only due to the risk of collision and damage of the platform, but also because it is unclear whether a consumer-grade UAV can withstand physical contact with the environment. In this paper, we address the issue of performing physical interaction with the environment by a multirotor UAV implementing a basic cascaded position-attitude controller, typical of most of consumer-grade multirotor systems. Precisely, we identify mathematically the boundaries where the system can safely be used to perform physical interaction with the environment. The theoretical approach is finally validated through experiments showing that physical contact can only be achieved within a predefined region of control inputs.
Paul Lassen, Matteo Fumagalli 0001
ICRA1