Demo Data from SIGIR 2026 / reviewers in the wild / expert
C. Cosner
dblp:231/3116
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1990
—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 · 100% |
Topics — the 3 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 › learning control
repetitive control |
0.0 | 1 | 1990 | Plug in repetitive control for industrial robotic manipulators · ICRA 1990 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 1990 | Plug in repetitive control for industrial robotic manipulators · ICRA 1990 |
Robotics › Motion planning and robot control › robot control
trajectory tracking |
0.0 | 1 | 1990 | Plug in repetitive control for industrial robotic manipulators · ICRA 1990 |
Methods — techniques the papers use, named apart from their topics
plug-in repetitive control · 0.0multirate sampling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Plug in repetitive control for industrial robotic manipulatorsabstractThe implementation of plug-in repetitive control on the direct drive axis of a prototype GMF A500 robot is considered. Plug-in repetitive control was developed and implemented using an IBM AT. A multirate sampling algorithm was designed to reduce the memory requirements of repetitive control. A microcontroller board based on the Intel 8096 was designed so that plug-in repetitive control could be applied from a small unit embedded within the KAREL controller. In each application, experimental results show that the tracking error is smoothly absorbed in a few cycles.> C. Cosner, George Anwar, Masayoshi Tomizuka |
ICRA | 1 |