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Maris Juberts

dblp:182/4528 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1985
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%
Artificial intelligence
1 paper
Trustworthy machine learning · 100%

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

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation
measurement systems
0.011985
Accurate remote measurement of robot trajectory motion · ICRA 1985
Machine learning › Trustworthy machine learning
calibration
0.011985
Accurate remote measurement of robot trajectory motion · ICRA 1985

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

photodiode camera triangulation · 0.0
YearPublicationVenuePosition
1985 Accurate remote measurement of robot trajectory motion
abstract
The development, calibration and evalution of a two camera opto-electronics remote measuring system is described. The measuring system, developed by the National Bureau of Standards (NBS), precisely tracks in three dimensions the location of infrared emitting LEDs. An approach being developed by NBS will use the system for accurately measuring robot trajectory motion and position within a calibrated work volume. This paper evaluates the performance of the measurement system apart from any specific applications. The measuring system, which uses two tetra-lateral photodiode cameras, has a resolution of approximately 0.01 percent and an absolute accuracy of 0.05 percent along each of the three dimensions of a work volume when using data points from within the center 80 percent of the detector field of view. Accuracy degrades to 0.1 percent when including data points from outside the center 90 percent of the field of view. Data collection rate is 3.3 kHz for one data point (LED) location measurment. Implementation and analysis procedures are also discussed.
Andrew Dainis, Maris Juberts
ICRA2