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Fabian Sonnleitner

dblp:246/7608 · 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
Robot manipulation · 38% Legged, aerial and field robots · 38% Motion planning and robot control · 23%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
mobile manipulation
0.412019
The Mechanics and Control of Leaning to Lift Heavy Objects with a Dynamically Stable Mobile Robot · ICRA 2019
Robotics › Motion planning and robot control › robot control
feedforward and feedback control
0.112019
The Mechanics and Control of Leaning to Lift Heavy Objects with a Dynamically Stable Mobile Robot · ICRA 2019
Robotics › Motion planning and robot control
robot control
0.112019
The Mechanics and Control of Leaning to Lift Heavy Objects with a Dynamically Stable Mobile Robot · ICRA 2019

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

quasi-static center of mass computation · 0.4fiducial marker tracking · 0.4
YearPublicationVenuePosition
2019 The Mechanics and Control of Leaning to Lift Heavy Objects with a Dynamically Stable Mobile Robot
abstract
A control algorithm is developed to enable dynamically stable spherical-wheel robots (ballbots) with arms to detect a heavy object of unknown mass, navigate to it, lift it, transport it, and place it in a desired location semi-autonomously. Previous work has successfully demonstrated two-wheeled dynamically stable mobile manipulator robots transporting heavy objects. We report here the first ballbot to reliably achieve such a task. A successful semi-autonomous lift and transport of a 15 kg heavy box whose actual mass was unknown was achieved using a combination of feedforward and feedback control laws based on a quasi-static center of mass computation. The ballbot's pan and tilt sensor turret tracked fiducial markers on the box. Ballbot-to-human and human-to-ballbot exchanges of a 10 kg heavy object was achieved while dynamically balancing.
Fabian Sonnleitner, Roberto Shu, Ralph L. Hollis
ICRA1