Alexandros Paraschos

Volkswagen Group (Germany) — Germany

Engineering · Physical Sciences

15h-index1.0kcitations26works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

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Research Topics

Robot Manipulation and Learning(18), Reinforcement Learning in Robotics(13), Robotic Mechanisms and Dynamics(4), Robotic Locomotion and Control(4), Generative Adversarial Networks and Image Synthesis(3)

Publications26 total

Guided Decoding for Robot On-line Motion Generation and Adaption
2024
The Shortcomings of Force-from-Motion in Robot Learning
arXiv (Cornell University)·2024Open Access
Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation
IEEE Transactions on Robotics·2021· 55 citedOpen Access
ORC—A Lightweight, Lightning-Fast Middleware
2019 Third IEEE International Conference on Robotic Computing (IRC)·2019· 3 cited
Fast Approximate Geodesics for Deep Generative Models
Lecture notes in computer science·2019· 16 cited
Fast Approximate Geodesics for Deep Generative Models
arXiv (Cornell University)·2018· 2 citedOpen Access
Active Learning based on Data Uncertainty and Model Sensitivity
2018· 14 cited
Active Learning based on Data Uncertainty and Model Sensitivity
arXiv (Cornell University)·2018· 1 citedOpen Access
Probabilistic movement primitives under unknown system dynamics
Advanced Robotics·2018· 20 cited
Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives
Frontiers in Robotics and AI·2017· 25 citedOpen Access
Using probabilistic movement primitives in robotics
Autonomous Robots·2017· 190 cited
Probabilistic Prioritization of Movement Primitives
IEEE Robotics and Automation Letters·2017· 27 cited
Robot Skill Representation, Learning and Control withProbabilistic Movement Primitives
2017
Model-free Probabilistic Movement Primitives for physical interaction
2015· 18 cited
Reinforcement learning vs human programming in tetherball robot games
2015· 14 cited
Extracting low-dimensional control variables for movement primitives
2015· 40 citedOpen Access
Generalizing Movements with Information-Theoretic Stochastic Optimal Control
Journal of Aerospace Information Systems·2014· 1 cited
Learning modular policies for robotics
Frontiers in Computational Neuroscience·2014· 20 citedOpen Access
Sample-based informationl-theoretic stochastic optimal control
2014· 47 cited
Probabilistic Movement Primitives
Lincoln Repository (University of Lincoln)·2013· 411 citedOpen Access
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Frequent Co-authors

Jan Peters(14), Gerhard Neumann(10), Patrick van der Smagt(8), Nutan Chen(5), Christian Daniel(4), Alexej Klushyn(4), F. Frank(3), Rudolf Lioutikov(3), Elmar Rueckert(3), Botond Cseke(2), Péter Englert(2), Marc Peter Deisenroth(2), Nikolaos I. Spanoudakis(2), Michail G. Lagoudakis(2), Francesco Ferroni(2), Justin Bayer(2), Djalel Benbouzid(2), Elie Aljalbout(2), Jan Mundo(1), Oriane Dermy(1)