Demo Data from VLDB 2026 / reviewers in the wild / expert
Kentaro Nozu
dblp:181/3901
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—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 › grasping
adaptive grasping |
0.2 | 1 | 2016 | Robotic grasp control with high-resolution combined tactile and proximity sensing · ICRA 2016 |
Robotics › Robot manipulation › tactile sensing › vision-based tactile sensing
optical tactile sensing |
0.1 | 1 | 2016 | Robotic grasp control with high-resolution combined tactile and proximity sensing · ICRA 2016 |
Methods — techniques the papers use, named apart from their topics
stereo matching · 0.2infrared imaging · 0.2compound-eye camera · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Robotic grasp control with high-resolution combined tactile and proximity sensingabstractWe have proposed a multimodal sensing with optical device and its application to robotic grasp control. The proposed device provides both tactile and proximity information with high spatial resolution on the same scale of coordinates, that is necessary while grasping small and complicated-shaped objects using a robotic hand. In our proposed device, tactile information is obtained as infrared image through a light conductive plate, which allows the capture of a tactile image of high spatial resolution using a camera. Proximity information is detected based on stereo matching of a pair of images obtained by two cameras. By using a compound-eye camera, we constructed a compact device so that the sensor can be mounted on the robotic hand. Through experiments with 6 DoF robotic arm and robotic hand equipped with the proposed sensing device, we show that the robotic motion for searching, approaching and grasping can be controlled based on sensor information obtained from only the proposed device. In addition, our combined sensing approach enables an adaptive grasping motion of the robotic hand. Kazuhiro Shimonomura, Hiroto Nakashima, Kentaro Nozu |
ICRA | 3 |