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Sasa Presern

dblp:00/1659 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1983
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 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
1 paper
Robot manipulation · 75% Motion planning and robot control · 25%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.011983
An Intelligent Tactile Sensor-An On-Line Hierarchical Object and Seam Analyzer · IEEE Trans. Pattern Anal. Mach. Intell. 1983
Robotics › Robot manipulation › industrial manipulation › robotic welding
seam tracking
0.011983
An Intelligent Tactile Sensor-An On-Line Hierarchical Object and Seam Analyzer · IEEE Trans. Pattern Anal. Mach. Intell. 1983
Robotics › Robot manipulation › tactile sensing
tactile object recognition
0.011983
An Intelligent Tactile Sensor-An On-Line Hierarchical Object and Seam Analyzer · IEEE Trans. Pattern Anal. Mach. Intell. 1983
Robotics › Robot manipulation
tactile sensing
0.011983
An Intelligent Tactile Sensor-An On-Line Hierarchical Object and Seam Analyzer · IEEE Trans. Pattern Anal. Mach. Intell. 1983

Methods — techniques the papers use, named apart from their topics

likelihood-based pruning · 0.0knowledge network · 0.0beam search · 0.0
YearPublicationVenuePosition
1983 An Intelligent Tactile Sensor-An On-Line Hierarchical Object and Seam Analyzer
abstract
This paper describes an on-line computer supported tactile sensor that can recognize complex industrial objects, identify a seam location, and track a three-dimensional seam trajectory for an arc welding robot. A one finger tactile sensor with two degrees of freedom is used. The supporting microcomputer system organizes and reduces the useful sensor data from digitized tactile information to a compact symbolic representation which is matched to a knowledge network. A beam search algorithm is used. The hierarchical organization provides that simple features are first detected on the object, and more complex features are examined later. Pruning of the search tree is based on a likelihood function.
Sasa Presern, Ludvik Gyergyek
IEEE Trans. Pattern Anal. Mach. Intell.1