Model-driven behavior specification for robotic teams. - Alexandros Paraschos; Nikolaos I. Spanoudakis; Michail G. Lagoudakis (AAMAS, 2012)

A Force-Distance Model of Humanoid Arm Withdrawal Reflexes. - Torbjørn S. Dahl; Alexandros Paraschos (TAROS, 2012)

A probabilistic approach to robot trajectory generation. - Alexandros Paraschos; Gerhard Neumann; Jan Peters 001 (Humanoids, 2013)

Model-based imitation learning by probabilistic trajectory matching. - Peter Englert; Alexandros Paraschos; Jan Peters 001; Marc Peter Deisenroth (ICRA, 2013)

Probabilistic Movement Primitives. - Alexandros Paraschos; Christian Daniel; Jan Peters 001; Gerhard Neumann (NIPS, 2013)

Probabilistic model-based imitation learning. - Peter Englert; Alexandros Paraschos; Marc Peter Deisenroth; Jan Peters 001 (Adapt. Behav., 2013)

Sample-based informationl-theoretic stochastic optimal control. - Rudolf Lioutikov; Alexandros Paraschos; Jan Peters 001; Gerhard Neumann (ICRA, 2014)

Learning modular policies for robotics. - Gerhard Neumann; Christian Daniel; Alexandros Paraschos; Andras Gabor Kupcsik; Jan Peters 001 (Frontiers Comput. Neurosci., 2014)

Generalizing Movements with Information-Theoretic Stochastic Optimal Control. - Rudolf Lioutikov; Alexandros Paraschos; Jan Peters 001; Gerhard Neumann (J. Aerosp. Inf. Syst., 2014)

Extracting low-dimensional control variables for movement primitives. - Elmar Rueckert; Jan Mundo; Alexandros Paraschos; Jan Peters 001; Gerhard Neumann (ICRA, 2015)

Model-free Probabilistic Movement Primitives for physical interaction. - Alexandros Paraschos; Elmar Rueckert; Jan Peters 001; Gerhard Neumann (IROS, 2015)

Reinforcement learning vs human programming in tetherball robot games. - Simone Parisi; Hany Abdulsamad; Alexandros Paraschos; Christian Daniel; Jan Peters 001 (IROS, 2015)

Deep spiking networks for model-based planning in humanoids. - Daniel Tanneberg; Alexandros Paraschos; Jan Peters 001; Elmar Rueckert (Humanoids, 2016)

Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives. - Oriane Dermy; Alexandros Paraschos; Marco Ewerton; Jan Peters 001; François Charpillet; Serena Ivaldi (Frontiers Robotics AI, 2017)

Probabilistic Prioritization of Movement Primitives. - Alexandros Paraschos; Rudolf Lioutikov; Jan Peters 001; Gerhard Neumann (IEEE Robotics Autom. Lett., 2017)

Active Learning based on Data Uncertainty and Model Sensitivity. - Nutan Chen; Alexej Klushyn; Alexandros Paraschos; Djalel Benbouzid; Patrick van der Smagt (IROS, 2018)

Probabilistic movement primitives under unknown system dynamics. - Alexandros Paraschos; Elmar Rueckert; Jan Peters 001; Gerhard Neumann (Adv. Robotics, 2018)

Using probabilistic movement primitives in robotics. - Alexandros Paraschos; Christian Daniel; Jan Peters 001; Gerhard Neumann (Auton. Robots, 2018)

Fast Approximate Geodesics for Deep Generative Models. - Nutan Chen; Francesco Ferroni; Alexej Klushyn; Alexandros Paraschos; Justin Bayer; Patrick van der Smagt (ICANN (2), 2019)

ORC - A Lightweight, Lightning-Fast Middleware. - Felix Frank; Alexandros Paraschos; Patrick van der Smagt (IRC, 2019)

Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation. - Felix Frank; Alexandros Paraschos; Patrick van der Smagt; Botond Cseke (IEEE Trans. Robotics, 2022)

Guided Decoding for Robot On-line Motion Generation and Adaption. - Nutan Chen; Botond Cseke; Elie Aljalbout; Alexandros Paraschos; Marvin Alles; Patrick van der Smagt (Humanoids, 2024)

The Shortcomings of Force-from-Motion in Robot Learning. - Elie Aljalbout; Felix Frank; Patrick van der Smagt; Alexandros Paraschos (CoRR, 2024)