225 citations · 329 across the 6 of their papers we have counts for
4 papers · 1 filter
Model Predictive Control with Gaussian Processes for Flexible Multi-Modal Physical Human Robot Interaction
Kevin Haninger, Christian Hegeler, Luka Peternel
Physical human-robot interaction can improve human ergonomics, task efficiency, and the flexibility of automation, but often requires application-specific methods to detect human s…
Periodic DMP formulation for Quaternion Trajectories
Fares J. Abu-Dakka, Matteo Saveriano, Luka Peternel
Imitation learning techniques have been used as a way to transfer skills to robots. Among them, dynamic movement primitives (DMPs) have been widely exploited as an effective and an…
ILoSA: Interactive Learning of Stiffness and Attractors
Giovanni Franzese, Anna Mészáros, Luka Peternel +1
Teaching robots how to apply forces according to our preferences is still an open challenge that has to be tackled from multiple engineering perspectives. This paper studies how to…
Dynamic Movement Primitives in Robotics: A Tutorial Survey
Matteo Saveriano, Fares J. Abu-Dakka, Aljaz Kramberger +1
Biological systems, including human beings, have the innate ability to perform complex tasks in versatile and agile manner. Researchers in sensorimotor control have tried to unders…