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J. Schneiter

dblp:186/3276 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1986
—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-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 · 50% Image recognition and object detection · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Image recognition and object detection
object recognition and localization
0.011986
An objective tactile sensing strategy for object recognition and localization · ICRA 1986
Robotics › Robot manipulation
tactile sensing
0.011986
An objective tactile sensing strategy for object recognition and localization · ICRA 1986

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

tactile sensing · 0.0
YearPublicationVenuePosition
1986 An objective tactile sensing strategy for object recognition and localization
abstract
A theory for scheduling sensor moves to obtain tactile information from objects is presented. In this report, tactile measurements are assumed taken from 2-D planar objects and consist of the point of contact of the sensor with an object's face and the surface normal vector at the contact point, although the theory does not preclude other tactile inputs. The theory is also not limited to 2-D planar objects, and general 3-D objects may be used with a concomitant increase in representation complexity and software development effort. It is only required that there be a finite number of interpretations of the tactile data. A hardware demonstration system is under development.
J. Schneiter
ICRA1