Fares J. Abu-Dakka

Fares J. Abu-Dakka

Aalto-yliopisto

H-index: 18

Europe-Finland

About Fares J. Abu-Dakka

Fares J. Abu-Dakka, With an exceptional h-index of 18 and a recent h-index of 17 (since 2020), a distinguished researcher at Aalto-yliopisto, specializes in the field of Robot learning, Geometric control, Learning from demonstration, Physical interactions.

His recent articles reflect a diverse array of research interests and contributions to the field:

Digital Robot Judge: Building a Task-centric Performance Database of Real-World Manipulation With Electronic Task Boards

Interactive Learning of Physical Object Properties Through Robot Manipulation and Database of Object Measurements

Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview

Safe execution of learned orientation skills with conic control barrier functions

Data-Efficient Reinforcement Learning for Variable Impedance Control

Learning stable robotic skills on Riemannian manifolds

Geometric Reinforcement Learning For Robotic Manipulation

Orientation Control with Variable Stiffness Dynamical Systems

Fares J. Abu-Dakka Information

University

Position

Intelligent Robotics Group Department of Electrical Engineering and Automation (EEA)

Citations(all)

1099

Citations(since 2020)

940

Cited By

370

hIndex(all)

18

hIndex(since 2020)

17

i10Index(all)

24

i10Index(since 2020)

21

Email

University Profile Page

Aalto-yliopisto

Google Scholar

View Google Scholar Profile

Fares J. Abu-Dakka Skills & Research Interests

Robot learning

Geometric control

Learning from demonstration

Physical interactions

Top articles of Fares J. Abu-Dakka

Title

Journal

Author(s)

Publication Date

Digital Robot Judge: Building a Task-centric Performance Database of Real-World Manipulation With Electronic Task Boards

IEEE Robotics & Automation Magazine

Peter So

Andriy Sarabakha

Fan Wu

Utku Culha

Fares J Abu-Dakka

...

2024/1/1

Interactive Learning of Physical Object Properties Through Robot Manipulation and Database of Object Measurements

arXiv preprint arXiv:2404.07344

Andrej Kruzliak

Jiri Hartvich

Shubhan P Patni

Lukas Rustler

Jan Kristof Behrens

...

2024/4/10

Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview

Yingbai Hu

Fares J Abu-Dakka

Fei Chen

Xiao Luo

Zheng Li

...

2024/3/27

Safe execution of learned orientation skills with conic control barrier functions

arXiv preprint arXiv:2403.05447

Zheng Shen

Matteo Saveriano

Fares J Abu-Dakka

Sami Haddadin

2024/3/8

Data-Efficient Reinforcement Learning for Variable Impedance Control

IEEE Access

Akhil S Anand

Rituraj Kaushik

Jan Tommy Gravdahl

Fares J Abu-Dakka

2024/1/17

Learning stable robotic skills on Riemannian manifolds

Robotics and Autonomous Systems

Matteo Saveriano

Fares J Abu-Dakka

Ville Kyrki

2023/11/1

Geometric Reinforcement Learning For Robotic Manipulation

IEEE Access

Naseem Alhousani

Matteo Saveriano

Ibrahim Sevinc

Talha Abdulkuddus

Hatice Kose

...

2023/10/6

Orientation Control with Variable Stiffness Dynamical Systems

Youssef Michel

Matteo Saveriano

Fares J Abu-Dakka

Dongheui Lee

2023/10/1

Dynamic movement primitives in robotics: A tutorial survey

The International Journal of Robotics Research

Matteo Saveriano

Fares J Abu-Dakka

Aljaž Kramberger

Luka Peternel

2023/9/23

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

David Blanco-Mulero

Gökhan Alcan

Fares Abu-Dakka

Ville Kyrki

2023/11/1

Reinforcement Learning for Orientation on the Lie Algebra

Naseem Alhousani

Hatice Kose

Fares J Abu-Dakka

2023/7/5

SPONGE: Sequence Planning with Deformable-ON-Rigid Contact Prediction from Geometric Features

Tran Nguyen Le

Fares J Abu-Dakka

Ville Kyrki

2023/10/1

Trajectory optimization on matrix lie groups with differential dynamic programming and nonlinear constraints

arXiv preprint arXiv:2301.02018

Gokhan Alcan

Fares J Abu-Dakka

Ville Kyrki

2023/1/5

Model-based variable impedance learning control for robotic manipulation

Robotics and Autonomous Systems

Akhil S Anand

Jan Tommy Gravdahl

Fares J Abu-Dakka

2023/12/1

Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning

Akhil S Anand

Jens Erik Kveen

Fares Abu-Dakka

Esten Ingar Grøtli

Jan Tommy Gravdahl

2022/12/12

Learning deep robotic skills on Riemannian manifolds

IEEE Access

Weitao Wang

Matteo Saveriano

Fares J Abu-Dakka

2022/10/28

A novel simulation-based quality metric for evaluating grasps on 3d deformable objects

Tran Nguyen Le

Jens Lundell

Fares J Abu-Dakka

Ville Kyrki

2022/10/23

Editorial Variable Impedance Control and Learning in Complex Interaction Scenarios: Challenges and Opportunities

Fares J Abu-Dakka

Matteo Saveriano

Meghan E Huber

Thiago Boaventura

2022/10/17

A Unified Formulation of Geometry-aware Dynamic Movement Primitives

arXiv preprint arXiv:2203.03374

Fares J Abu-Dakka

Matteo Saveriano

Ville Kyrki

2022/3/7

Deformation-aware data-driven grasp synthesis

IEEE Robotics and Automation Letters

Tran Nguyen Le

Jens Lundell

Fares J Abu-Dakka

Ville Kyrki

2022/1/27

See List of Professors in Fares J. Abu-Dakka University(Aalto-yliopisto)

Co-Authors

H-index: 43
Norbert Krueger

Norbert Krueger

Syddansk Universitet

H-index: 37
Ville Kyrki

Ville Kyrki

Aalto-yliopisto

H-index: 25
Alvaro Page

Alvaro Page

Universidad Politécnica de València

H-index: 23
Vicente Mata

Vicente Mata

Universidad Politécnica de València

H-index: 22
Angel Valera

Angel Valera

Universidad Politécnica de València

H-index: 22
Luka Peternel

Luka Peternel

Technische Universiteit Delft

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