Publications

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
• 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
• 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

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
• 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
• 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
• 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
• 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
• 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

• 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
• 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

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

Theses

• Online Learning of Industrial Manipulators’ Dynamics Models, Ph.D. Dissertation, Aalborg University, 2017.Details
• Effect of Internal Models on Homeokinetic Controlled Autonomous Robots, M.Sc. Thesis, The University of Edinburgh, 2013.Details
• Learning Fuzzy Cognitive Maps by Using Hebbian Learning Algorithms in System Modeling and Pattern Recognition, B.Sc Thesis, Democritus University of Thrace, 2011.Details