Alexandros Paraschos

Orcid: 0000-0002-3930-4840

According to our database1, Alexandros Paraschos authored at least 21 papers between 2012 and 2022.

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Bibliography

2022
Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation.
IEEE Trans. Robotics, 2022

2019
ORC - A Lightweight, Lightning-Fast Middleware.
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Fast Approximate Geodesics for Deep Generative Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018
Using probabilistic movement primitives in robotics.
Auton. Robots, 2018

Probabilistic movement primitives under unknown system dynamics.
Adv. Robotics, 2018

Active Learning based on Data Uncertainty and Model Sensitivity.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Probabilistic Prioritization of Movement Primitives.
IEEE Robotics Autom. Lett., 2017

Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives.
Frontiers Robotics AI, 2017

2016
Deep spiking networks for model-based planning in humanoids.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015
Reinforcement learning vs human programming in tetherball robot games.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Model-free Probabilistic Movement Primitives for physical interaction.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Extracting low-dimensional control variables for movement primitives.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Generalizing Movements with Information-Theoretic Stochastic Optimal Control.
J. Aerosp. Inf. Syst., 2014

Learning modular policies for robotics.
Frontiers Comput. Neurosci., 2014

Sample-based informationl-theoretic stochastic optimal control.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Probabilistic model-based imitation learning.
Adapt. Behav., 2013

Probabilistic Movement Primitives.
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.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

A probabilistic approach to robot trajectory generation.
Proceedings of the 13th IEEE-RAS International Conference on Humanoid Robots, 2013

2012
A Force-Distance Model of Humanoid Arm Withdrawal Reflexes.
Proceedings of the Advances in Autonomous Robotics, 2012

Model-driven behavior specification for robotic teams.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012


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