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Jorge Feliú Batlle

dblp:26/6063 · also Jorge J. Feliu-Batlle · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none

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

Artificial intelligence and machine learning · 2Applied, interdisciplinary, general and emerging computing · 1 · 1 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
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 control
adaptive control
0.011999
Load adaptive control of single-link flexible arms based on a new modeling technique · IEEE Trans. Robotics Autom. 1999
Robotics › Motion planning and robot control › robot control
flexible manipulator control
0.011999
Load adaptive control of single-link flexible arms based on a new modeling technique · IEEE Trans. Robotics Autom. 1999
Robotics › Motion planning and robot control › manipulator control
tip position control
0.011999
Load adaptive control of single-link flexible arms based on a new modeling technique · IEEE Trans. Robotics Autom. 1999

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

tip load identification · 0.0lyapunov analysis · 0.0
YearPublicationVenuePosition
2007 A modular neural network architecture for step-wise learning of grasping tasks
Javier Molina-Vilaplana, Jorge Feliú Batlle, Juan López Coronado
Neural Networks2
2002 A Neural Model of Spatio Temporal Coordination in Prehension
Javier Molina-Vilaplana, Jorge Feliú Batlle, Juan López Coronado
ICANN2
1999 Load adaptive control of single-link flexible arms based on a new modeling technique
abstract
A new method for controlling single-link flexible manipulators is proposed. The objective is to control the tip position of a flexible manipulator in the presence of changes in its payload. Particularly, a new adaptive control system has been designed. The proposed control system requires calculating only one parameter, the tip load, instead of all the transfer functions as in conventional adaptive control methods. The tip load identification algorithm is based on the equivalence existing between a manipulator with payload and a manipulator submitted to the action of external forces. Moreover, this equivalence provides a new technique for modeling these systems which simplifies the methods usually applied. This results in a simple control law that needs minimal computing effort and, thus, can be used for real-time control of flexible arms.
Jorge Feliú Batlle, Vicente Feliú Batlle, Carlos Cerrada
IEEE Trans. Robotics Autom.1