In particular, this paper explains the concept of a Mixture of Interaction Primitives to learn interactions from multiple unlabeled demonstrations and to deal ...
The concept of a Mixture of Interaction Primitives to learn interactions from multiple unlabeled demonstrations and to deal with nonlinear correlations ...
Probabilistic Movement Primitives. A Probabilistic Movement Primitive (ProMP) [17] is a movement representation based on a distribution over trajec- tories ...
Abstract: The task of physically assisting humans requires from robots the ability to adapt in many different ways: to changes in space of the.
Modeling Spatio-Temporal Variability in Human-Robot Interaction with Probabilistic Movement Primitives. M. Ewerton , G. Neumann , R. Lioutikov , H. Ben Amor ...
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", year = "2015", title = "Modeling Spatio-Temporal Variability in Human-Robot Interaction with Probabilistic Movement Primitives", booktitle = "Workshop on ...
An adaptive learning and control framework based on dynamic movement primitives with application to human–robot handovers. Robotics and Autonomous Systems.
Missing: Spatio- Temporal Interaction
In this work, we introduce a reformulation of Interaction. Primitives which allows for learning from demonstration of interaction tasks, while also gracefully ...
Missing: Spatio- Variability
In this paper, we proposed probabilistic movement primitives (ProMPs), a widely-used approach in robot skill learning, to model human motions.
Missing: Spatio- Temporal