Demo Data from SIGIR 2026 / reviewers in the wild / expert
Paul T. Kotnik
dblp:146/5004
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1988
—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 · 56% Robot manipulation · 44% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control › feedback control
acceleration feedback control |
0.0 | 1 | 1988 | Acceleration feedback control for a flexible manipulator arm · ICRA 1988 |
Robotics › Robot manipulation
flexible manipulator |
0.0 | 1 | 1988 | Acceleration feedback control for a flexible manipulator arm · ICRA 1988 |
Methods — techniques the papers use, named apart from their topics
state feedback observer · 0.0root locus · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Acceleration feedback control for a flexible manipulator armabstractThe authors report laboratory results for a single-link flexible manipulator arm in which three separate control strategies are compared and contrasted: compensation using classical root locus techniques with endpoint position feedback, a full state feedback observer-based design, and compensation using endpoint acceleration feedback. The last technique, using accelerometer feedback, has received little attention to date. The presented results indicate great promise for its use in flexible manipulator control.> Paul T. Kotnik, Stephen Yurkovich, Ümit Özgüner |
ICRA | 1 |