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Jasper L. J. Scholten

dblp:135/8417 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2013
—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 · 56% Robot manipulation · 44%

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
aerial manipulation
0.212013
Interaction control of an UAV endowed with a manipulator · ICRA 2013
Robotics › Robot manipulation
interaction control
0.212013
Interaction control of an UAV endowed with a manipulator · ICRA 2013
Robotics › Legged, aerial and field robots
aerial robots
0.012013
Interaction control of an UAV endowed with a manipulator · ICRA 2013

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

simulation · 0.2force control · 0.2experimental validation · 0.2
YearPublicationVenuePosition
2013 Interaction control of an UAV endowed with a manipulator
abstract
In this paper, we present the design, simulation and experimental validation of a control architecture for an unmanned aerial vehicle endowed with a manipulation system and interacting with a remote environment. The goal of this work is to show that the interaction control allows the manipulator to track a desired force, normal to a vertical wall, while still maintaining the possibility of moving on the wall. The control strategy has been implemented and validated in simulations and experiments on the manipulator standalone, i.e., attached to a fixed base, and on the manipulator attached to the aerial vehicle.
Jasper L. J. Scholten, Matteo Fumagalli 0001, Stefano Stramigioli, Raffaella Carloni
ICRA1