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Listar por autor "Abu Dakka, Fares Jawad Mohd"

Mostrando ítems 1-8 de 8

Comparing the efficiency of five algorithms applied to path planning for industrial robots

Rubio Montoya, Francisco José; ABU-DAKKA, FARES JAWAD MOHD; Valero Chuliá, Francisco José; Mata Amela, Vicente (Emerald, 2012)

Purpose The purpose of this paper is to compare the quality and efficiency of five methods for solving the path planning problem of industrial robots in complex environments. Design/methodology/approach In total, ...
Development of lower-limb rehabilitation exercises using 3-PRS Parallel Robot and Dynamic Movement Primitives

Escarabajal Sánchez, Rafael José; Abu Dakka, Fares Jawad Mohd; Pulloquinga Zapata, José; Mata Amela, Vicente; Vallés Miquel, Marina; Valera Fernández, Ángel (Universitat Politècnica de València, 2020-10-06)

[EN] The design of rehabilitation exercises applied to sprained ankles requires extreme caution, regarding the trajectories and the speed of the movements that will affect the patient. This paper presents a technique that ...
Evolutionary algorithm to solve trajectory planning problem, with robot dynamics considerations

ABU-DAKKA, FARES JAWAD MOHD; Valero Chuliá, Francisco José; Suñer Martinez, Josep Lluis; Mata Amela, Vicente (Pozzo Gros Monti, 2012)

[EN] This paper presents a new genetic algorithm methodology to obtain a smooth trajectory planning for industrial robots in complex environments. This method aims to gradually create the collision free trajectory as the ...
Evolutionary indirect approach to solving trayectory planning problem for industrial robots

ABU-DAKKA, FARES JAWAD MOHD; Rubio Montoya, Francisco José; Valero Chuliá, Francisco José; Mata Amela, Vicente (Elsevier, 2013-11)

In this paper, an indirect method for trajectory planning for industrial robots has been addressed using an evolutionary algorithm. The algorithm is divided into three stages: (1) The acquisition of Adjacent Configurations ...
Evolutionary Path Planning Algorithm for Industrial Robots

ABU-DAKKA, FARES JAWAD MOHD; Valero Chuliá, Francisco José; Mata Amela, Vicente (Taylor & Francis and The Robotics Society of Japan, 2012)

This paper proposed a new methodology to solve collision free path planning problem for industrial robot using genetic algorithms. The method poses an optimization problem that aims to minimize the significant points ...
Exercise adaptation and learning for ankle rehabilitation using parallel robot

ABU DAKKA, FARES JAWAD MOH D (Universitat Politècnica de València, 2016-03-14)

[EN] This work presents a methodology for learning and adaptation of a 3-PRS parallel robot skills for ankle rehabilitation. Passive exercises have been designed to train dorsi/plantar flexion, inversion/eversion ankle ...
Passive Exercise Adaptation for Ankle Rehabilitation Based on Learning Control Framework

Abu-Dakka, Fares J.; Valera Fernández, Ángel; Escalera, Juan A.; Abderrahim, Mohamed; Page Del Pozo, Alvaro Felipe; Mata Amela, Vicente (MDPI AG, 2020-11)

[EN] Ankle injuries are among the most common injuries in sport and daily life. However, for their recovery, it is important for patients to perform rehabilitation exercises. These exercises are usually done with a therapist's ...
Trajectory planning for industrial robot using genetic algorithms

ABU-DAKKA, FARES JAWAD MOHD (Universitat Politècnica de València, 2011-03-14)

En las últimas décadas, debido la importancia de sus aplicaciones, se han propuesto muchas investigaciones sobre la planificación de caminos y trayectorias para los manipuladores, algunos de los ámbitos en los que pueden ...