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Rafael Avilés

dblp:69/7901 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2004
0000-0002-9131-3197ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2

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
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. Robotics3
2002 A method for the study of position in highly redundant multibody systems in environments with obstacles
abstract
This paper looks at a method for the analysis of highly redundant multibody systems (e.g., in the case of cellular adaptive structures of variable geometry) in environments with obstacles. Our aim is to solve the inverse kinematics in successive positions of multibody systems, avoiding the obstacles in its work environment. The multibody systems are modeled via rod-type finite elements, both deformable and indeformable, and the coordinates of their nodes are chosen as variables. The obstacles are modeled via a mesh of points that exert repulsive forces on the nodes of the model of the multibody, in order to model the obstacle avoidance. Such forces have been chosen inversely proportional to the Nth power of the distance between the corresponding points of the obstacle and of the multibody system. The method is based on a potential function and on its minimization using the Lagrange Multiplier Method. The solution of the resulting equations is undertaken iteratively with the Newton-Raphson Method.
Josu Agirrebeitia, Rafael Avilés, Igor Fernández de Bustos, Goizalde Ajuria
IEEE Trans. Robotics Autom.2