Demo Data from SIGIR 2026 / reviewers in the wild / expert
Hidekazu Niu
dblp:126/2713
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
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 |
Robot manipulation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › deformable object manipulation
flexible material handling |
0.0 | 1 | 1997 | Performance improvement of flexible material handling robot by error detection and replanning · ICRA 1997 |
Robotics › Robot manipulation › deformable object manipulation
flexible payload handling |
0.0 | 1 | 1997 | Performance improvement of flexible material handling robot by error detection and replanning · ICRA 1997 |
Methods — techniques the papers use, named apart from their topics
replanning · 0.0error detection · 0.0control parameter adaptation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Performance improvement of flexible material handling robot by error detection and replanningabstractThis paper proposes a control system for the flexible material handling robot. In the past, there has been reported much research work on flexible material handling robot systems. In most of the previous work, control system parameters were treated as fixed. However, they often change due to variation of the flexible payloads. In some cases, control performance is degraded and the production process is terminated in some situations. To deal with these cases, we propose an error detection method and a replanning system. If system parameters change and control performance is degraded, this system detects error by itself and changes control parameters to recover from the error automatically. Some experimental examples are shown to confirm effectiveness of this proposed system. Fumihito Arai, Hidekazu Niu, Toshio Fukuda |
ICRA | 2 |