Alexandros Paraschos

According to our database, Alexandros Paraschos authored at least 23 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The Shortcomings of Force-from-Motion in Robot Learning.

Elie Aljalbout, Felix Frank, Patrick van der Smagt, Alexandros Paraschos

CoRR, 2024

Guided Decoding for Robot On-line Motion Generation and Adaption.

Nutan Chen, Botond Cseke, Elie Aljalbout, Alexandros Paraschos, Marvin Alles, Patrick van der Smagt

Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

2022

Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation.

Felix Frank, Alexandros Paraschos, Patrick van der Smagt, Botond Cseke

IEEE Trans. Robotics, 2022

2019

ORC - A Lightweight, Lightning-Fast Middleware.

Felix Frank, Alexandros Paraschos, Patrick van der Smagt

Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Fast Approximate Geodesics for Deep Generative Models.

Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018

Using probabilistic movement primitives in robotics.

Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann

Auton. Robots, 2018

Probabilistic movement primitives under unknown system dynamics.

Alexandros Paraschos, Elmar Rueckert, Jan Peters, Gerhard Neumann

Adv. Robotics, 2018

Active Learning based on Data Uncertainty and Model Sensitivity.

Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Probabilistic Prioritization of Movement Primitives.

Alexandros Paraschos, Rudolf Lioutikov, Jan Peters, Gerhard Neumann

IEEE Robotics Autom. Lett., 2017

Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives.

Oriane Dermy, Alexandros Paraschos, Marco Ewerton, Jan Peters, François Charpillet, Serena Ivaldi

Frontiers Robotics AI, 2017

2016

Deep spiking networks for model-based planning in humanoids.

Daniel Tanneberg, Alexandros Paraschos, Jan Peters, Elmar Rueckert

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015

Reinforcement learning vs human programming in tetherball robot games.

Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Model-free Probabilistic Movement Primitives for physical interaction.

Alexandros Paraschos, Elmar Rueckert, Jan Peters, Gerhard Neumann

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Extracting low-dimensional control variables for movement primitives.

Elmar Rueckert, Jan Mundo, Alexandros Paraschos, Jan Peters, Gerhard Neumann

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Generalizing Movements with Information-Theoretic Stochastic Optimal Control.

Rudolf Lioutikov, Alexandros Paraschos, Jan Peters, Gerhard Neumann

J. Aerosp. Inf. Syst., 2014

Learning modular policies for robotics.

Gerhard Neumann, Christian Daniel, Alexandros Paraschos, Andras Gabor Kupcsik, Jan Peters

Frontiers Comput. Neurosci., 2014

Sample-based informationl-theoretic stochastic optimal control.

Rudolf Lioutikov, Alexandros Paraschos, Jan Peters, Gerhard Neumann

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Probabilistic model-based imitation learning.

Peter Englert, Alexandros Paraschos, Marc Peter Deisenroth, Jan Peters

Adapt. Behav., 2013

Probabilistic Movement Primitives.

Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Model-based imitation learning by probabilistic trajectory matching.

Peter Englert, Alexandros Paraschos, Jan Peters, Marc Peter Deisenroth

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

A probabilistic approach to robot trajectory generation.

Alexandros Paraschos, Gerhard Neumann, Jan Peters

Proceedings of the 13th IEEE-RAS International Conference on Humanoid Robots, 2013

2012

A Force-Distance Model of Humanoid Arm Withdrawal Reflexes.

Torbjørn S. Dahl, Alexandros Paraschos

Proceedings of the Advances in Autonomous Robotics, 2012

Model-driven behavior specification for robotic teams.

Alexandros Paraschos, Nikolaos I. Spanoudakis, Michail G. Lagoudakis

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012