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Patrick Rousseau

dblp:52/8908 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none

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

Applied, 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
1 paper
Motion planning and robot control · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot calibration
kinematic parameter identification
0.012001
Machine vision system for the automatic identification of robot kinematic parameters · IEEE Trans. Robotics Autom. 2001
Robotics › Motion planning and robot control
robot calibration
0.012001
Machine vision system for the automatic identification of robot kinematic parameters · IEEE Trans. Robotics Autom. 2001

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

quaternion representation · 0.0machine vision · 0.0least squares analysis · 0.0
YearPublicationVenuePosition
2001 Machine vision system for the automatic identification of robot kinematic parameters
abstract
This paper presents an efficient, noncontact measurement technique for the automatic identification of the real kinematic parameters of an industrial robot. The technique is based on least-squares analysis and on the Hayati and Mirmirani kinematic modeling convention for closed kinematic chains. The measurement system consists of a single camera mounted on the robot's wrist. The camera measures position and orientation of a passive target in six degrees of freedom. Target position is evaluated by applying least-squares analysis on an overdetermined system of equations based on the quaternion representation of the finite rotation formula. To enhance the accuracy of the measurement, a variety of image processing functions including subpixel interpolation are applied.
Patrick Rousseau, Alain Desrochers, Nicholas Krouglicof
IEEE Trans. Robotics Autom.1