VLDB 2026 Research / reviewers in the wild / expert
GuoYi Luo
dblp:260/0774
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021
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
tactile sensing |
0.5 | 1 | 2021 | Fabric defect detection using tactile information · ICRA 2021 |
Robotics › Robot manipulation › tactile sensing
tactile sensor design |
0.1 | 1 | 2021 | Fabric defect detection using tactile information · ICRA 2021 |
Methods — techniques the papers use, named apart from their topics
tactile sensing · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Fabric defect detection using tactile informationabstractThis paper proposes a method of fabric structure defect detection based on tactile information. Different from traditional visual-based detection methods, the proposed method uses a tactile sensor to attain the information of fabric. The advantage of using tactile information is to avoid different irregular dyeing patterns and reduce the influence of ambient light. Therefore, the proposed method can be more concise and universal, which makes the defect detection system more robust. Experiments are conducted to verify the performance of the developed tactile method. The results demonstrate that the proposed method is much better than the visual method in the detection of structural defects. In addition, we propose a design of a tactile sensing device that can greatly improve the actual detection efficiency of the tactile method. It is showed that the proposed method is efficient enough to meet our requirements and it provides a possible solution for the application of the tactile method in actual fabric production. Xingming Long, Bin Fang 0003, GuoYi Luo, Fuchun Sun 0001 |
ICRA | 4 |