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Sebastian Dendorfer

dblp:151/9535 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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
Motion planning and robot control · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › system identification › robot dynamics identification
friction identification
0.212014
Experimental friction identification in robot drives · ICRA 2014
Robotics › Motion planning and robot control
robot dynamics
0.212014
Experimental friction identification in robot drives · ICRA 2014

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

modular testbed · 0.2friction law fitting · 0.2
YearPublicationVenuePosition
2014 Experimental friction identification in robot drives
abstract
The drive mechanism of many robot joints are composed of an electrical actuator and a gear transmission. Besides actuator dynamics and gear elasticity, friction effects are of particular importance for accurate dynamic modeling. This paper presents the design and development of a modular testbed for experimental friction identification in modular robot drives. We have used this testbed to investigate modules that were developed at our institute for the humanoid robot Lola and an agricultural manipulator. We discovered that a friction law, similar to a law proposed in the literature, can be very accurately fitted to our measurements.
Joerg Baur, Sebastian Dendorfer, Julian Pfaff, Christoph Schuetz, Thomas Buschmann, Heinz Ulbrich
ICRA2