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Rene Franke

dblp:74/7792 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2009
—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
Motion planning and robot control · 77% Robot manipulation · 23%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.112009
Vibration control of a multi-link flexible robot arm with Fiber-Bragg-Grating sensors · ICRA 2009
Robotics › Robot manipulation
flexible manipulator
0.012009
Vibration control of a multi-link flexible robot arm with Fiber-Bragg-Grating sensors · ICRA 2009

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

nonlinear strain feedback · 0.1fiber bragg grating sensor · 0.1dynamic modeling · 0.1
YearPublicationVenuePosition
2009 Vibration control of a multi-link flexible robot arm with Fiber-Bragg-Grating sensors
abstract
Flexible, lightweight manipulators offer some advantages in contrast to rigid arms, such as compact and lighter drives, energy efficiency, reduced masses and costs. This paper presents a novel approach for vibration damping of a multi-link flexible arm. The strain of the elastic arms is measured with Fiber-Bragg-Grating (FBG) sensors and provides the feedback signal to dampen their flexural dynamics. A dynamic model of a three link arm is derived that accounts for the rigid and flexural dynamics including gravity. The arm vibrations are damped by nonlinear strain feedback. The controller is general and robust and its design does not require a model of the flexural dynamics. In the context of closed loop vibration control FBG sensors offer a better signal to noise ratio compared to strain gauges, which allows a higher static gain in the feedback loop with more efficient dissipation of vibrational energy. The feasibility and effectiveness of the proposed vibration control scheme in conjunction with FBG sensors is verified and analyzed in simulations and confirmed in experiments with a flexible three link robot arm.
Rene Franke, Jörn Malzahn, Thomas Nierobisch, Frank Hoffmann 0001, Torsten Bertram
ICRA1