Demo Data from SIGIR 2026 / reviewers in the wild / expert
M. C. Tsai
dblp:24/11123
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 › manipulator control
conveyor tracking |
0.0 | 1 | 1996 | Tracking control of a conveyor belt: design and experiments · IEEE Trans. Robotics Autom. 1996 |
Robotics › Motion planning and robot control › robot control
sensor-based control |
0.0 | 1 | 1996 | Tracking control of a conveyor belt: design and experiments · IEEE Trans. Robotics Autom. 1996 |
Robotics › Motion planning and robot control › robot control
tracking control |
0.0 | 1 | 1996 | Tracking control of a conveyor belt: design and experiments · IEEE Trans. Robotics Autom. 1996 |
Methods — techniques the papers use, named apart from their topics
reflective optical sensor · 0.0predictive compensation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Tracking control of a conveyor belt: design and experimentsabstractThis paper presents the results of an experimental setup for a position tracking system that is to control a working table to track a workpiece on a moving conveyor belt, such that the manipulator placed on the working table is able to operate upon the workpiece while the workpiece is still moving. The feedback control employs a reflective type optical sensor which is placed on the table, to measure the relative positions of the working table and the workpiece. A predictive method to compensate for the effect of sensor output saturation on tracking performance is investigated in detail. The application of this tracking control to industrial production lines to achieve a nonstop work flow may shorten overall manufacturing time, and therefore improve the production efficiency and increase the productivity. M. C. Tsai |
IEEE Trans. Robotics Autom. | 1 |