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Jean-Claude Angué

dblp:16/2853 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1990
—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.

Theoretical computer science
1 paper
Mathematical optimization · 100%
Artificial intelligence
1 paper
Motion planning and robot control · 50% Robot manipulation · 50%

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

TopicWeightPapersLastEvidence papers
Mathematical optimization
continuous optimization
0.011990
Identification of geometric and nongeometric parameters of robots · ICRA 1990
Mathematical optimization › control theory › system identification
parameter identification
0.011990
Identification of geometric and nongeometric parameters of robots · ICRA 1990
Robotics › Robot manipulation
manipulator accuracy
0.011990
Identification of geometric and nongeometric parameters of robots · ICRA 1990
Robotics › Motion planning and robot control
robot control
0.011990
Identification of geometric and nongeometric parameters of robots · ICRA 1990

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

least-squares estimation · 0.0denavit-hartenberg modeling · 0.0
YearPublicationVenuePosition
1990 Identification of geometric and nongeometric parameters of robots
abstract
A general calibration model is developed to represent both geometric and nongeometric errors in manipulator structure including rotary and/or prismatic joints. The aim of this model is to obtain the accuracy limit of the robot, often defined as repeatability. A new definition of this limit is given which takes into account effects such as the encoder resolution and roundoff error of the robot controller. The geometric model uses the modified Denavit-Hartenberg notation including the modified beta parameter. Nongeometric parameters are defined in the geometric model to take into account joint compliance, backlash, and flexion. Calibration equations are presented. They define a linear differential model of independent parameter errors solved by a least-squares method. The results are applied to a six-degree-of-freedom robot including revolute and prismatic joint. The resulting improvement due to this calibration makes it possible to obtain an accuracy value comparable to the limit of the robot.>
Jean-Luc Caenen, Jean-Claude Angué
ICRA2