Fares J. Abu-Dakka

Orcid: 0000-0001-9062-9416

According to our database1, Fares J. Abu-Dakka authored at least 48 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fusion Dynamical Systems with Machine Learning in Imitation Learning: A Comprehensive Overview.
CoRR, 2024

Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions.
CoRR, 2024

Data-Efficient Reinforcement Learning for Variable Impedance Control.
IEEE Access, 2024

2023
Model-based variable impedance learning control for robotic manipulation.
Robotics Auton. Syst., December, 2023

Learning stable robotic skills on Riemannian manifolds.
Robotics Auton. Syst., November, 2023

Dynamic movement primitives in robotics: A tutorial survey.
Int. J. Robotics Res., November, 2023

Trajectory Optimization on Matrix Lie Groups with Differential Dynamic Programming and Nonlinear Constraints.
CoRR, 2023

Geometric Reinforcement Learning for Robotic Manipulation.
IEEE Access, 2023

Reinforcement Learning for Orientation on the Lie Algebra.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

QDP: Learning to Sequentially Optimise Quasi-Static and Dynamic Manipulation Primitives for Robotic Cloth Manipulation.
IROS, 2023

Orientation Control with Variable Stiffness Dynamical Systems.
IROS, 2023

SPONGE: Sequence Planning with Deformable-ON-Rigid Contact Prediction from Geometric Features.
IROS, 2023

2022
A Bidirectional Soft Biomimetic Hand Driven by Water Hydraulic for Dexterous Underwater Grasping.
IEEE Robotics Autom. Lett., 2022

Deformation-Aware Data-Driven Grasp Synthesis.
IEEE Robotics Autom. Lett., 2022

Editorial Variable Impedance Control and Learning in Complex Interaction Scenarios: Challenges and Opportunities.
IEEE Robotics Autom. Lett., 2022

Geometric Reinforcement Learning: The Case of Cartesian Space Orientation.
CoRR, 2022

Deep Model Predictive Variable Impedance Control.
CoRR, 2022

A Unified Formulation of Geometry-aware Dynamic Movement Primitives.
CoRR, 2022

Learning Deep Robotic Skills on Riemannian Manifolds.
IEEE Access, 2022

A Novel Simulation-Based Quality Metric for Evaluating Grasps on 3D Deformable Objects.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021
Toward Orientation Learning and Adaptation in Cartesian Space.
IEEE Trans. Robotics, 2021

A probabilistic framework for learning geometry-based robot manipulation skills.
Robotics Auton. Syst., 2021

A Novel Soft Robotic Hand Design With Human-Inspired Soft Palm: Achieving a Great Diversity of Grasps.
IEEE Robotics Autom. Mag., 2021

Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements.
IEEE Robotics Autom. Lett., 2021

Towards synthesizing grasps for 3D deformable objects with physics-based simulation.
CoRR, 2021

Imitation learning-based framework for learning 6-D linear compliant motions.
Auton. Robots, 2021

Periodic DMP formulation for Quaternion Trajectories.
Proceedings of the 20th International Conference on Advanced Robotics, 2021

2020
Passive Exercise Adaptation for Ankle Rehabilitation Based on Learning Control Framework.
Sensors, 2020

Variable Impedance Control and Learning - A Review.
Frontiers Robotics AI, 2020

A Novel Design of Soft Robotic Hand with a Human-inspired Soft Palm for Dexterous Grasping.
CoRR, 2020

Geometry-aware Dynamic Movement Primitives.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Towards Orientation Learning and Adaptation in Cartesian Space.
CoRR, 2019

Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Generalized Orientation Learning in Robot Task Space.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Practical Use of Robot Manipulators as Intelligent Manufacturing Systems.
Sensors, 2018

Force-based variable impedance learning for robotic manipulation.
Robotics Auton. Syst., 2018

Force-Based Learning of Variable Impedance Skills for Robotic Manipulation.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017
Comparison of trajectory parametrization methods with statistical analysis for dynamic parameter identification of serial robot.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
A symbolic geometric formulation of branched articulated multibody systems based on graphs and lie groups.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015
A direct approach to solving trajectory planning problems using genetic algorithms with dynamics considerations in complex environments.
Robotica, 2015

Adaptation of manipulation skills in physical contact with the environment to reference force profiles.
Auton. Robots, 2015

Trajectory Adaptation and Learning for Ankle Rehabilitation Using a 3-PRS Parallel Robot.
Proceedings of the Intelligent Robotics and Applications - 8th International Conference, 2015

2014
Solving peg-in-hole tasks by human demonstration and exception strategies.
Ind. Robot, 2014

2013
Transfer of assembly operations to new workpiece poses by adaptation to the desired force profile.
Proceedings of the 16th International Conference on Advanced Robotics, 2013

2012
Comparing the efficiency of five algorithms applied to path planning for industrial robots.
Ind. Robot, 2012

Evolutionary Path Planning Algorithm for Industrial Robots.
Adv. Robotics, 2012

2011
Parallel-Populations Genetic Algorithm for the Optimization of Cubic Polynomial Joint Trajectories for Industrial Robots.
Proceedings of the Intelligent Robotics and Applications - 4th International Conference, 2011


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