Jul 25, 2017 · The method is based on probabilistically modelling the coupling between human-robot movement primitives and eliminates the need of time- ...

This paper proposes an interaction learning method suited for semi-autonomous robots that work with or assist a human partner. The method aims at generating ...

A Probabilistic Framework for. Semi-Autonomous Robots Based on. Interaction Primitives with Phase. Estimation. Guilherme Maeda, Gerhard Neumann, Marco Ewerton ...

The method is based on probabilistically modelling the coupling between human-robot movement primitives and eliminates the need of time-alignment of the ...

Jan 3, 2018 · The method is based on probabilistically modelling the coupling between human-robot movement primitives and eliminates the need of time- ...

Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and ...

This paper proposes an interaction learning method suited for semi-autonomous robots that work with or assist a human partner. The method aims at generating ...

A probabilistic framework for semi-autonomous robots based on interaction primitives with phase estimation. G Maeda, G Neumann, M Ewerton, R Lioutikov, J Peters.

... probabilistic movement primitives. G Maeda, M ... A probabilistic framework for semi-autonomous robots based on interaction primitives with phase estimation.

Advanced Robotics 34 (18), 1157-1170, 2020. 16, 2020. A probabilistic framework for semi-autonomous robots based on interaction primitives with phase estimation.