World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7135
World Ranking
8840
National Ranking
10

Overview

Ales Ude is affiliated with the Jožef Stefan Institute in Slovenia and contributes extensively to the fields of Engineering and Computer Science. Their research focuses on several main disciplines, including Control and Systems Engineering, Industrial and Manufacturing Engineering, Biomedical Engineering, Artificial Intelligence, and Computer Vision and Pattern Recognition.

The primary research topics covered in their work include Robot Manipulation and Learning, Manufacturing Process and Optimization, Flexible and Reconfigurable Manufacturing Systems, Human Pose and Action Recognition, Reinforcement Learning in Robotics, Prosthetics and Rehabilitation Robotics, and Robotic Locomotion and Control.

Recent papers authored or co-authored by Ales Ude highlight diverse areas of robotics and machine learning. Among these are:

  • Smart hardware integration with advanced robot programming technologies for efficient reconfiguration of robot workcells (2020, Robotics and Computer-Integrated Manufacturing)
  • Mechanical design and friction modelling of a cable-driven upper-limb exoskeleton (2022, Mechanism and Machine Theory)
  • Training of deep neural networks for the generation of dynamic movement primitives (2020, Neural Networks)
  • Robot skill learning in latent space of a deep autoencoder neural network (2020, Robotics and Autonomous Systems)
  • Transfer learning in robotics: An upcoming breakthrough? A review of promises and challenges (2024, The International Journal of Robotics Research)

Ales Ude frequently collaborates with several co-authors, including Mihael Simonič, Bojan Nemec, Andrej Gams, Miha Deniša, and Rok Pahič. These collaborative efforts contribute to the breadth and depth of their research output.

The scientist's work has been published repeatedly in notable venues such as the 20th International Conference on Advanced Robotics (ICAR), Zenodo (CERN European Organization for Nuclear Research), Robotics and Computer-Integrated Manufacturing, arXiv (Cornell University), and Applied Sciences.

Best Publications

  • Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives

    Aleš Ude;Andrej Gams;Tamim Asfour;Jun Morimoto

  • Using humanoid robots to study human behavior

    C.G. Atkeson;J.G. Hale;F. Pollick;M. Riley

  • CB: A Humanoid Research Platform for Exploring NeuroScience

    G. Cheng;Sang-Ho Hyon;J. Morimoto;A. Ude

  • Programming full-body movements for humanoid robots by observation

    Aleš Ude;Christopher G. Atkeson;Marcia Riley

  • The meaning of action: a review on action recognition and mapping

    Volker Krüger;Danica Kragic;Aleš Ude;Christopher Geib

  • Orientation in Cartesian space dynamic movement primitives

    Ales Ude;Bojan Nemec;Tadej Petric;Jun Morimoto

  • Coupling Movement Primitives: Interaction With the Environment and Bimanual Tasks

    Andrej Gams;Bojan Nemec;Auke Jan Ijspeert;Ales Ude

  • Object-action complexes: Grounded abstractions of sensory-motor processes

    Norbert Krüger;Christopher W. Geib;Justus H. Piater;Ronald P. A. Petrick

  • Adaptive Control of Exoskeleton Robots for Periodic Assistive Behaviours Based on EMG Feedback Minimisation.

    Luka Peternel;Tomoyuki Noda;Tadej Petrič;Aleš Ude

  • Adaptation of manipulation skills in physical contact with the environment to reference force profiles

    Fares J. Abu-Dakka;Bojan Nemec;Jimmy A. JØrgensen;Thiusius R. Savarimuthu

  • Learning Actions from Observations

    Volker Kruger;Dennis Herzog;Sanmohan Baby;Aleš Ude

  • The Karlsruhe Humanoid Head

    T. Asfour;K. Welke;P. Azad;A. Ude

  • On-line motion synthesis and adaptation using a trajectory database

    Denis Forte;Andrej Gams;Jun Morimoto;Aleš Ude

  • Learning to pour with a robot arm combining goal and shape learning for dynamic movement primitives

    Minija Tamosiunaite;Bojan Nemec;Aleš Ude;Florentin WöRgöTter

  • Planning of joint trajectories for humanoid robots using B-spline wavelets

    A. Ude;C.G. Atkeson;M. Riley

  • Enabling real-time full-body imitation: a natural way of transferring human movement to humanoids

    M. Riley;A. Ude;K. Wade;C.G. Atkeson

  • A Simple Ontology of Manipulation Actions Based on Hand-Object Relations

    F. Worgotter;E. E. Aksoy;N. Kruger;J. Piater

  • Trajectory generation from noisy positions of object features for teaching robot paths

    Aleš Ude

  • Learning Compliant Movement Primitives Through Demonstration and Statistical Generalization

    Miha Denisa;Andrej Gams;Ales Ude;Tadej Petric

  • Automatic Generation of Kinematic Models for the Conversion of Human Motion Capture Data into Humanoid Robot Motion

    Ales Ude;Curtis Man;Marcia Riley;Christopher G. Atkeson

Frequent Co-Authors

Tamim Asfour
Tamim Asfour Karlsruhe Institute of Technology
Gordon Cheng
Gordon Cheng Technical University of Munich
Jun Morimoto
Jun Morimoto Advanced Telecommunications Research Institute International
Christopher G. Atkeson
Christopher G. Atkeson Carnegie Mellon University
Norbert Krüger
Norbert Krüger University of Southern Denmark
Florentin Wörgötter
Florentin Wörgötter University of Göttingen
Rüdiger Dillmann
Rüdiger Dillmann Center for Information Technology
Auke Jan Ijspeert
Auke Jan Ijspeert École Polytechnique Fédérale de Lausanne
Justus Piater
Justus Piater University of Innsbruck
Danica Kragic
Danica Kragic Royal Institute of Technology

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