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Alexandros Paraschos
Alexandros Paraschos
Volkswagen AG
Verified email at argmax.ai
Title
Cited by
Cited by
Year
Probabilistic Movement Primitives
A Paraschos, C Daniel, J Peters, G Neumann
Advances in Neural Information Processing Systems (NIPS), 2013
4702013
Using probabilistic movement primitives in robotics
A Paraschos, C Daniel, J Peters, G Neumann
Autonomous Robots 42 (3), 529-551, 2018
1342018
Sample-Based Information-Theoretic Stochastic Optimal Control
R Lioutikov, A Paraschos, J Peters, G Neumann
70*
Model-based imitation learning by probabilistic trajectory matching
P Englert, A Paraschos, J Peters, MP Deisenroth
Robotics and Automation (ICRA), 2013 IEEE International Conference on, 1922-1927, 2013
552013
Probabilistic Model-based Imitation Learning
P Englert, A Paraschos, J Peters, MP Deisenroth
Adaptive Behavior 21, 388-403, 2013
512013
Extracting low-dimensional control variables for movement primitives
E Rueckert, J Mundo, A Paraschos, J Peters, G Neumann
Robotics and Automation (ICRA), 2015 IEEE International Conference on, 1511-1518, 2015
422015
Model-driven behavior specification for robotic teams
A Paraschos, NI Spanoudakis, MG Lagoudakis
Proceedings of the 11th International Conference on Autonomous Agents and …, 2012
332012
Prediction of intention during interaction with ICUB with probabilistic movement primitives
O Dermy, A Paraschos, M Ewerton, J Peters, F Charpillet, S Ivaldi
Frontiers in Robotics and AI 4, 45, 2017
262017
Learning Modular Policies for Robotics
G Neumann, C Daniel, A Paraschos, A Kupcsik, J Peters
Frontiers in Computational Neuroscience 8, 62, 2014
262014
Probabilistic prioritization of movement primitives
A Paraschos, R Lioutikov, J Peters, G Neumann
IEEE Robotics and Automation Letters, 2017
252017
Model-free Probabilistic Movement Primitives for physical interaction
A Paraschos, E Rueckert, J Peters, G Neumann
Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International …, 2015
202015
Fast approximate geodesics for deep generative models
N Chen, F Ferroni, A Klushyn, A Paraschos, J Bayer, P van der Smagt
International Conference on Artificial Neural Networks, 554-566, 2019
192019
A Probabilistic Approach to Robot Trajectory Generation
A Paraschos, G Neumann, J Peters
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2013
192013
Probabilistic movement primitives under unknown system dynamics
A Paraschos, E Rueckert, J Peters, G Neumann
Advanced Robotics 32 (6), 297-310, 2018
172018
Reinforcement learning vs human programming in tetherball robot games
S Parisi, H Abdulsamad, A Paraschos, C Daniel, J Peters
Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International …, 2015
162015
Active learning based on data uncertainty and model sensitivity
N Chen, A Klushyn, A Paraschos, D Benbouzid, P Van der Smagt
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
142018
Monas: A flexible software architecture for robotic agents
A Paraschos
Diploma thesis, Technical University of Crete, Greece 29, 43-71, 2010
102010
ORC—a lightweight, lightning-fast middleware
F Frank, A Paraschos, P van der Smagt
2019 Third IEEE International Conference on Robotic Computing (IRC), 337-343, 2019
42019
A Force-Distance Model of Humanoid Arm Withdrawal Reflexes
T Dahl, A Paraschos
Advances in Autonomous Robotics, 13-24, 2012
42012
Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation
F Frank, A Paraschos, P van der Smagt, B Cseke
arXiv preprint arXiv:2101.12561, 2021
32021
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