Invited Talk at the Institute of Neuroinformatics (INI), Zurich, Switzerland
Probabilistic computational models of human motor control for robot learning.
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Probabilistic computational models of human motor control for robot learning.
Neural models for brain-machine interfaces and anthropomorphic robotics
Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control
Nature Publishing Group: Scientific Reports, 6 (28455), 2016.
Recurrent Spiking Networks Solve Planning Tasks
Nature Publishing Group: Scientific Reports, 6 (21142), 2016.
Elmar Rueckert joined the Autonomous Systems Labs of Prof. Jan Peters as Post-Doc in March 2014.
At the Technical University Graz, Austria with Prof. Wolfgang Maass.
Rueckert, Elmar; d’Avella, Andrea
Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems
Rueckert, Elmar; Neumann, Gerhard; Toussaint, Marc; Maass, Wolfgang
Learned graphical models for probabilistic planning provide a new class of movement primitives
At the technical University Graz with Prof. Horst Bischof.