Fares J. Abu-Dakka
Fares J. Abu-Dakka
Intelligent Robotics Group, Department of Electrical Engineering and Automation (EEA), Aalto
Verified email at aalto.fi - Homepage
Cited by
Cited by
Adaptation of manipulation skills in physical contact with the environment to reference force profiles
FJ Abu-Dakka, B Nemec, JA Jørgensen, TR Savarimuthu, N Krüger, ...
Autonomous Robots 39 (2), 199-217, 2015
Solving peg-in-hole tasks by human demonstration and exception strategies
FJ Abu-Dakka, B Nemec, A Kramberger, AG Buch, N Krüger, A Ude
Industrial Robot: An International Journal, 2014
Force-based variable impedance learning for robotic manipulation
FJ Abu-Dakka, L Rozo, DG Caldwell
Robotics and Autonomous Systems 109, 156-167, 2018
A direct approach to solving trajectory planning problems using genetic algorithms with dynamics considerations in complex environments
FJ Abu-Dakka, FJ Valero, JL Suñer, V Mata
Robotica 33 (3), 669-683, 2015
Transfer of Assembly Operations to New Workpiece Poses by Adaptation to the Desired Force Profile
B Nemec, F Abu-Dakka, JA Rytz, TR Savarimuthu, B Ridge, N Krüger, ...
The 16th International Conference on Advanced Robotics, ICAR 2013, 2013
Statistical evaluation of an evolutionary algorithm for minimum time trajectory planning problem for industrial robots
FJ Abu-Dakka, IF Assad, RM Alkhdour, M Abderahim
The international journal of advanced manufacturing technology 89 (1-4), 389-406, 2017
Evolutionary Indirect Approach to Solving Trajectory Planning Problem for Industrial Robots Operating in Workspaces with Obstacles
FJ Abu-Dakka, F Rubio, F Valero, V Mata
European Journal of Mechanics - A/Solids 42, 210–218, 2013
Comparing the efficiency of five algorithms applied to path planning for industrial robots
F Rubio, FJ Abu-Dakka, F Valero, V Mata
Industrial Robot: An International Journal 39 (6), 580 - 591, 2012
Trajectory adaptation and learning for ankle rehabilitation using a 3-PRS parallel robot
FJ Abu-Dakk, A Valera, JA Escalera, M Vallés, V Mata, M Abderrahim
International conference on intelligent robotics and applications, 483-494, 2015
Trajectory planning for industrial robot using genetic algorithms
Universitat Politècnica de València, 2011
Evolutionary path planning algorithm for industrial robots
FJ Abu-Dakka, F Valero, V Mata
Advanced Robotics 26 (11-12), 1369-1392, 2012
Intelligent Robotics and Applications
FJ Abu-Dakka, IF Assad, F Valero, V Mata
Variable impedance control and learning--A review
FJ Abu-Dakka, M Saveriano
Frontiers Robotics AI 7, 177, 2020
Geometry-aware Dynamic Movement Primitives
FJ Abu-Dakka, V Kyrki
IEEE International Conference on Robotics and Automation (ICRA), 2020
Uncertainty-aware imitation learning using kernelized movement primitives
J Silvério, Y Huang, FJ Abu-Dakka, L Rozo, DG Caldwell
10.1109/IROS40897.2019.8967996, 2019
Generalized Orientation Learning in Robot Task Space
Y Huang, FJ Abu-Dakka, J Silvério, DG Caldwell
International Conference on Robotics and Automation (ICRA), 2019
Practical use of robot manipulators as intelligent manufacturing systems
PJ Alhama Blanco, FJ Abu-Dakka, M Abderrahim
Sensors 18 (9), 2877, 2018
Parallel-Populations genetic algorithm for the optimization of cubic polynomial joint trajectories for industrial robots
F Abu-Dakka, I Assad, F Valero, V Mata
Intelligent Robotics and Applications / Lecture Notes in Computer Science, 83-92, 2011
Path Planning Optimization of Industrial Robots Using Genetic Algorithm
FJ Abu-Dakka, F Valero, V Mata, IFI Assad
16th International Workshop on Robotics in Alpe-Adria-Danube Region …, 2007
Toward orientation learning and adaptation in cartesian space
Y Huang, FJ Abu-Dakka, J Silvério, DG Caldwell
IEEE Transactions on Robotics 37 (1), 82-98, 2020
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