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Charles Pinto

dblp:69/284 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2010
0000-0002-0630-8888ORCID · verified

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

Systems, architecture and hardware · 2Artificial intelligence and machine learning · 1Applied, 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
Motion planning and robot control · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot kinematics
closed kinematic chains
0.012004
A practical procedure to analyze singular configurations in closed kinematic chains · IEEE Trans. Robotics 2004
Robotics › Motion planning and robot control
robot kinematics
0.012004
A practical procedure to analyze singular configurations in closed kinematic chains · IEEE Trans. Robotics 2004
Robotics › Motion planning and robot control
singularity analysis
0.012004
A practical procedure to analyze singular configurations in closed kinematic chains · IEEE Trans. Robotics 2004

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

motion space basis · 0.0jacobian analysis · 0.0
YearPublicationVenuePosition
2010 Extended CTC control for parallel robots
abstract
Parallel robots have recently arisen as an interesting robotic architecture capable of performing task at high speed and precision. In order to exploit all the potential of these mechanism, model based control approaches are required. However, due to their complex structure, kinematic and dynamic modelling is a complex task, which usually leads to models with parameter uncertainties. In order to reduce the effect of parameter uncertainties, in this paper a redundant dynamic model based Extended CTC approach is proposed, and its stability and sensitivity analyzed for the 3RRR parallel robot. Results show that this approach provides more robustness than classical CTC approach to model parameter uncertainties.
Asier Zubizarreta-Pico, Itziar Cabanes, Marga Marcos, Charles Pinto, Eva Portillo
ETFA4
2008 Control of parallel robots using passive sensor data
abstract
A novel control architecture for parallel robots is introduced to fully exploit the advantages of these robots on high-speed and precision operation. A closed form of the dynamic model of parallel robots is difficult to obtain, due to the complex kinematic relations of these kind of mechanism. However, with the use of the extra data provided by sensors placed in strategic passive joints, kinematic and dynamic modelling can be simplified. The dynamic model can be used to implement advanced control techniques to improve the efficiency of parallel robots. In this paper, monoarticular and multiarticular control techniques are implemented on a 5R parallel robot, showing that the use of extra sensor data leads to a better and accurate control.
Asier Zubizarreta-Pico, Itziar Cabanes, Marga Marcos, Charles Pinto
IROS4
2004 A practical procedure to analyze singular configurations in closed kinematic chains
abstract
The authors present a general method for the automated singularity analysis of any mechanism at a given configuration. The procedure uses a base of the motion space. This is obtained from a velocity equation characterized by a geometric matrix. This special form of Jacobian matrix has some advantages for automatic implementation. This approach provides the degree of freedom associated with the singularity, uncontrolled motion, and kinematic dependencies. It also facilitates the choice of actuators and redundant devices. The method has been implemented in a computer program for kinematic analysis.
Oscar Altuzarra, Charles Pinto, Rafael Avilés, Alfonso Hernández
IEEE Trans. Robotics2