Demo Data from EDBT 2026 / reviewers in the wild / expert
Rene Franke
dblp:74/7792
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2009 | Vibration control of a multi-link flexible robot arm with Fiber-Bragg-Grating sensors · ICRA 2009 |
Robotics › Robot manipulation
flexible manipulator |
0.0 | 1 | 2009 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Vibration control of a multi-link flexible robot arm with Fiber-Bragg-Grating sensorsabstractFlexible, 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 |
ICRA | 1 |