Demo Data from SIGIR 2026 / reviewers in the wild / expert
Y. Shibano
dblp:44/3806
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1995
—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 |
Legged, aerial and field robots · 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 › Legged, aerial and field robots › field robotics
agricultural robotics |
0.0 | 1 | 1995 | Agricultural Robot in Grape Production System · ICRA 1995 |
Robotics › Robot manipulation › robot design › manipulator design
end-effector design |
0.0 | 1 | 1995 | Agricultural Robot in Grape Production System · ICRA 1995 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Agricultural Robot in Grape Production SystemabstractA multipurpose agricultural robot which works in vineyard has been studied. This robot, which consists of a manipulator, a visual sensor, a travelling device and end-effecters, is able to do several works by changing the end-effecters. Four end-effectors for harvesting, berry thinning, spraying and bagging have been developed for this robot system. The harvesting end-effector which grasps and cuts rachis was able to harvest bunches with no damage. The berry thinning end-effector which consists of three unified bunch shape parts. The spraying end-effector sprays the target uniformly, and the bagging end-effector is able to put bags on growing bunches one by one continuously. From the experimental results in a field and laboratory, it was observed that each end-effector could perform efficiently. Mitsuji Monta, Naoshi Kondo, Y. Shibano |
ICRA | 3 |