Publications

Sort: By Type

2019

Journal Articles

  • Recent Advances in Robot Learning from Demonstration
    By H. Ravichandar, A. S. Polydoros, S. Chernova, and A. Billard
    In Annual Review of Control, Robotics, and Autonomous Systems
    pp. In Press 2019.
    Details

2018

Conferences & Workshops

  • Human-Machine Interface for Remote Training of Robot Tasks.
    By J. Spranger, R. Buzatoiu, A. Polydoros, L. Nalpantidis, and E. Boukas
    In 2018 IEEE International Conference on Imaging Systems and Techniques (IST)
    pp. pp. 1–5, 2018.
    Details

Preprints

  • Learning Movement Assessment Primitives for Force Interaction Skills
    By X. Zhang, A. S. Polydoros, and J. Piater
    .
    Details
  • Multi-Task Gaussian Process Movement Primitives for Kinesthetic Teaching
    By A. S. Polydoros and J. Piater
    .
    Details
  • Online Multi-task Learning of Robotic Manipulators Dynamics Models with Echo-State Networks
    By A. S. Polydoros and L. Nalpantidis
    .
    Details

2017

Journal Articles

  • Survey of Model-Based Reinforcement Learning: Applications on Robotics
    By A. S. Polydoros and L. Nalpantidis
    In Journal of Intelligent & Robotic Systems
    vol. 86, no., 2 pp. 153–173 2017.
    Details

Conferences & Workshops

  • Online multi-target learning of inverse dynamics models for computed-torque control of compliant manipulators
    By A. S. Polydoros, E. Boukas, and L. Nalpantidis
    In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    pp. pp. 4716–4722, 2017.
    Details
  • Global Localization for Future Space Exploration Rovers
    By E. Boukas, A. S. Polydoros, G. Visentin, L. Nalpantidis, and A. Gasteratos
    In International Conference on Computer Vision Systems
    pp. pp. 86–98, 2017.
    Details

Book Chapters

  • SkiROS—A Skill-Based Robot Control Platform on Top of ROS
    By F. Rovida, M. Crosby, D. Holz, A. S. Polydoros, B. Großmann, R. P. A. Petrick, and V. Krüger
    in Robot Operating System (ROS)
    Springer, 2017., pp. 121–160.
    Details

Theses

  • Online Learning of Industrial Manipulators’ Dynamics Models, Ph.D. Dissertation, Aalborg University, 2017.Details

2016

Conferences & Workshops

  • Accurate and versatile automation of industrial kitting operations with SkiROS,
    By A. S. Polydoros, B. Grossmann, F. Rovida, L. Nalpantidis, and V. Kruger
    In 17th Conference Towards Autonomous Robotic Systems (TAROS), (Sheffield, UK)
    2016.
    Details
  • A reservoir computing approach for learning forward dynamics of industrial manipulators
    By A. S. Polydoros and L. Nalpantidis
    In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    pp. pp. 612–618, 2016.
    Details

2015

Conferences & Workshops

  • Real-time deep learning of robotic manipulator inverse dynamics
    By A. S. Polydoros, L. Nalpantidis, and V. Kruger
    In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    pp. pp. 3442–3448, 2015.
    Details
  • Advantages and Limitations of Reservoir Computing on Model Learning for Robot Control
    By A. S. Polydoros, L. Nalpantidis, and V. Krüger
    In 2nd International Workshop on Machine Learning for Planning and Control, IROS Hamburg
    2015.
    Details

2014

Conferences & Workshops

  • A Roadmap Towards Intelligent and Autonomous Object Manipulation for Assembly Tasks
    By A. S. Polydoros, L. Nalpantidis, and V. Krüger
    In International workshop on Autonomous Grasping and Manipulation, ICRA
    2014.
    Details
  • Internal Models for Self-Organized Robotic Behavior.
    By S. C. Simon, A. S. Polydoros, and J. M. Herrmann
    In Seventh International Workshop on Guided Self-Organization
    2014.
    Details
  • Towards an Intelligent Robotic Manipulator for Industrial Object-placing Tasks
    By A. Polydoros, L. Nalpantidis, and V. Krüger
    In International Workshop on Intelligent Robot Assistants
    2014.
    Details

2013

Theses

  • Effect of Internal Models on Homeokinetic Controlled Autonomous Robots, M.Sc. Thesis, The University of Edinburgh, 2013.Details

2012

Journal Articles

  • Towards Hebbian learning of fuzzy cognitive maps in pattern classification problems
    By G. A. Papakostas, D. E. Koulouriotis, A. S. Polydoros, and V. D. Tourassis
    In Expert Systems with Applications
    vol. 39, no., 12 pp. 10620–10629 2012.
    Details

2011

Conferences & Workshops

  • Training fuzzy cognitive maps by using hebbian learning algorithms: a comparative study
    By G. A. Papakostas, A. S. Polydoros, D. E. Koulouriotis, and V. D. Tourassis
    In 2011 IEEE International Conference on Fuzzy Systems (FUZZ)
    pp. pp. 851–858, 2011.
    Details

Book Chapters

  • Evolutionary feature subset selection for pattern recognition applications
    By G. A. Papakostas, A. S. Polydoros, D. E. Koulouriotis, and V. D. Tourassis
    in Evolutionary Algorithms
    INTECH Open Access Publisher, 2011.
    Details

Theses

  • Learning Fuzzy Cognitive Maps by Using Hebbian Learning Algorithms in System Modeling and Pattern Recognition, B.Sc Thesis, Democritus University of Thrace, 2011.Details
Total number of research items: 22