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Antonio Cárdenas

dblp:97/3581 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 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.

Artificial intelligence
1 paper
3D vision · 33% Motion planning and robot control · 33% Robot manipulation · 33%

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

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › camera calibration › camera model
affine camera model		 0.112010
Robot Positioning Using Camera-Space Manipulation With a Linear Camera Model · IEEE Trans. Robotics 2010
Robotics › Motion planning and robot control › robot control › motion control
robot positioning		 0.112010
Robot Positioning Using Camera-Space Manipulation With a Linear Camera Model · IEEE Trans. Robotics 2010
Robotics › Robot manipulation › robot vision
vision sensor positioning		 0.112010
Robot Positioning Using Camera-Space Manipulation With a Linear Camera Model · IEEE Trans. Robotics 2010

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

linear camera model · 0.1
YearPublicationVenuePosition
2010 Robot Positioning Using Camera-Space Manipulation With a Linear Camera Model
abstract
This paper presents a new version of the camera-space-manipulation method (CSM). The set of nonlinear view parameters of the classic CSM is replaced with a linear model. Simulations and experiments show a similar precision error for the two methods. However, the new approach is simpler to implement and is faster.
Juan M. Rendón-Mancha, Antonio Cárdenas, Marco A. García, Emilio J. González-Galván, Bruno Lara 0001
 IEEE Trans. Robotics2