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Emanuele Lubrano

dblp:69/8366 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2011
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 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
2 papers
Motion planning and robot control · 56% Robot manipulation · 44%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot calibration
0.222011
Ultra-high-precision industrial robots calibration · ICRA 2011
Thermal calibration of a 3 DOF ultra high-precision robot operating in industrial environment · ICRA 2010
Robotics › Motion planning and robot control › robot control › motion control
precision control
0.012011
Ultra-high-precision industrial robots calibration · ICRA 2011
Robotics › Motion planning and robot control › robot control
parallel robot control
0.012010
Thermal calibration of a 3 DOF ultra high-precision robot operating in industrial environment · ICRA 2010

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

nano-indentation · 0.1thermal behavior modeling · 0.1
YearPublicationVenuePosition
2011 Ultra-high-precision industrial robots calibration
abstract
This paper furnishes the theoretical basis to perform the calibration of one or more ultra-high-precision industrial robots operating in the same workspace. We propose a new calibration procedure that keeps in account the factors that lower the robot accuracy at nanometer scale. To validate this approach, we present the practical case of the calibration of a two industrial robots system. Finally, we propose nano-indentation as an alternative method to evaluate the final accuracy reached by the system after calibration.
Emanuele Lubrano, Mohamed Bouri, Reymond Clavel
ICRA1
2010 Thermal calibration of a 3 DOF ultra high-precision robot operating in industrial environment
abstract
While dealing with sub-micrometer precision robots, thermal expansion is the most significant source of inaccuracy. Thermal variations in the environment, in the robot parts and in the frame change the robot geometry, lowering the robot precision. In this article we propose a strategy to model and compensate such effects. The thermal behavior of a 3 DOF (Degree(s)-of-freedom) parallel robot has been studied using a high-precision measuring system. A model of the robot thermal behavior has been built and implemented in the controller. By using it, thermal deformations are compensated in real-time and an absolute accuracy of ±71 nm has been reached.
Emanuele Lubrano, Reymond Clavel
ICRA1