Demo Data from EDBT 2026 / reviewers in the wild / expert
Stefan Begej
dblp:139/6135
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1988
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorApplied, 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
2 papers |
Robot manipulation · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Haptics and multimodal interaction · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › tactile sensing › tactile sensor design
optical tactile sensor |
0.0 | 1 | 1988 | Planar and finger-shaped optical tactile sensors for robotic applications · IEEE J. Robotics Autom. 1988 |
Robotics › Robot manipulation
tactile sensing |
0.0 | 1 | 1988 | Planar and finger-shaped optical tactile sensors for robotic applications · IEEE J. Robotics Autom. 1988 |
Haptics and multimodal interaction › tactile sensing
optical tactile sensor |
0.0 | 1 | 1988 | Fingertip-shaped optical tactile sensor for robotic applications · ICRA 1988 |
Haptics and multimodal interaction
tactile sensing |
0.0 | 1 | 1988 | Fingertip-shaped optical tactile sensor for robotic applications · ICRA 1988 |
Robotics › Robot manipulation
grasping |
0.0 | 1 | 1988 | Planar and finger-shaped optical tactile sensors for robotic applications · IEEE J. Robotics Autom. 1988 |
Robotics › Robot manipulation › grasping › gripper design
parallel-jaw gripper |
0.0 | 1 | 1988 | Planar and finger-shaped optical tactile sensors for robotic applications · IEEE J. Robotics Autom. 1988 |
Methods — techniques the papers use, named apart from their topics
frustrated total internal reflection · 0.0image analysis · 0.0fiber-optic sensing · 0.0fiber optic sensing · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Fingertip-shaped optical tactile sensor for robotic applicationsabstractProgress is described regarding the development of a high-density fiber-optic, fingertip-shaped tactile sensor specifically designed for application to dexterous robotics. The sensor operates on optical principles involving the frustration of total internal reflection at a waveguide/elastomer interface and generates a grey-scale tactile image that represents the normal forces of contact. The sensor contains 256 taxels (sensing sites) distributed in a dual-density pattern that includes a tactile fovea near the tip which measures 13 mm*13 mm and contains 169 taxels. The details regarding the design and construction of this tactile sensor are presented, in addition to photographs of tactile imprints.> Stefan Begej |
ICRA | 1 |
| 1988 | Planar and finger-shaped optical tactile sensors for robotic applicationsabstractProgress is described regarding the development of optical tactile sensors specifically designed for application to dexterous robotics. These sensors operate on optical principles involving the frustration of total internal reflection at a waveguide/elastomer interface and produce a grey-scale tactile image that represents the normal (vertical) forces of contact. The first tactile sensor discussed is a compact, 32*32 planar sensor array intended for mounting on a parallel-jaw gripper. Optical fibers were employed to convey the tactile image to a CCD camera and microprocessor-based image analysis system. The second sensor had the shape and size of a human fingertip and was designed for a dexterous robotic hand. It contained 257 sensing sites (taxels) distributed in a dual-density pattern that included a tactile fovea near the tip measuring 13*13 mm and containing 169 taxels. The design and construction details of these tactile sensors are presented, in addition to photographs of tactile imprints.> Stefan Begej |
IEEE J. Robotics Autom. | 1 |