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Stefan Begej

dblp:139/6135 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › tactile sensing › tactile sensor design
optical tactile sensor
0.011988
Planar and finger-shaped optical tactile sensors for robotic applications · IEEE J. Robotics Autom. 1988
Robotics › Robot manipulation
tactile sensing
0.011988
Planar and finger-shaped optical tactile sensors for robotic applications · IEEE J. Robotics Autom. 1988
Haptics and multimodal interaction › tactile sensing
optical tactile sensor
0.011988
Fingertip-shaped optical tactile sensor for robotic applications · ICRA 1988
Haptics and multimodal interaction
tactile sensing
0.011988
Fingertip-shaped optical tactile sensor for robotic applications · ICRA 1988
Robotics › Robot manipulation
grasping
0.011988
Planar and finger-shaped optical tactile sensors for robotic applications · IEEE J. Robotics Autom. 1988
Robotics › Robot manipulation › grasping › gripper design
parallel-jaw gripper
0.011988
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
YearPublicationVenuePosition
1988 Fingertip-shaped optical tactile sensor for robotic applications
abstract
Progress 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
ICRA1
1988 Planar and finger-shaped optical tactile sensors for robotic applications
abstract
Progress 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