Dec 7, 2019 · This natural sense to infer temporal dynamics and coordination motivates us to approach robot control from a motor skill learning perspective to ...

This natural sense to infer temporal dynamics and coordination motivates us to approach robot control from a motor skill learning perspective to design fast and ...

This article introduces Phase Portrait Movement Primitives (PPMP), a primitive that predicts dynamics on a low dimensional phase space which in turn is used to ...

This article introduces Phase Portrait Movement Primitives (PPMP), a primitive that predicts dynamics on a low dimensional phase space which in turn is used to ...

Dec 7, 2019 · An adaptive learning and control framework based on dynamic movement primitives with application to human-robot handovers · Engineering, Computer ...

This article introduces Phase Portrait Movement Primitives (PPMP), a primitive that predicts dynamics on a low dimensional phase space which in turn is used to ...

Ardakani, M. M. G., Olofsson, B., Robertsson, A., & Johansson, R. (2015). Real-time trajectory generation using model predictive control. In Proceedings of the ...

This article introduces Phase Portrait Movement Primitives (PPMP), a primitive that predicts dynamics on a low dimensional phase space which in turn is used ...

Dec 10, 2019 · To endow robots with such capabilities, this article introduces Phase Portrait Movement Primitives (PPMPs). A PPMP is capable of estimating the ...

Bibliographic details on Phase Portraits as Movement Primitives for Fast Humanoid Robot Control.