IJJR 2017:  Learning Movement Primitive Libraries through Probabilistic Segmentation

IJJR 2017: Learning Movement Primitive Libraries through Probabilistic Segmentation

Movement primitives are a well established approach for encoding and executing movements. While the primitives themselves have been extensively researched, the concept of movement primitive libraries…

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AURO2017: Using Probabilistic Movement Primitives in Robotics

AURO2017: Using Probabilistic Movement Primitives in Robotics

Movement Primitives are a well-established paradigm for modular movement representation and generation. They provide a data-driven representation of movements and support generalization to novel situations, temporal modulation, sequencing of…

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RAL & IROS 2017: Probabilistic prioritization of movement primitives

RAL & IROS 2017: Probabilistic prioritization of movement primitives

Movement prioritization is a common approach to combine controllers of different tasks for redundant robots, where each task is assigned a priority. The priorities of the tasks…

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IJRR 2017: Phase estimation for fast action recognition and trajectory generation in human–robot collaboration

IJRR 2017: Phase estimation for fast action recognition and trajectory generation in human–robot collaboration

This paper proposes a method to achieve fast and fluid human–robot interaction by estimating the progress of the movement of the human. The method allows…

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Auro 2017:  Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks

Auro 2017: Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks

This paper proposes an interaction learning method for collaborative and assistive robots based on movement primitives. The method allows for both action recognition and human–robot…

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NIPS 2013: Probabilistic Movement Primitives

NIPS 2013: Probabilistic Movement Primitives

Movement Primitives (MP) are a well-established approach for representing modular and re-usable robot movement generators. Many state-of-the-art robot learning successes are based MPs, due to…

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