Probabilistic computational models of human motor control for robot learning.
Archives
Invited Talk at the Albert-Ludwigs-Universität Freiburg, Germany
Neural models for brain-machine interfaces and anthropomorphic robotics
Journal Paper Accepted at Nature Publishing Group: Scientific Reports.
Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control
Nature Publishing Group: Scientific Reports, 6 (28455), 2016.
Journal Paper Accepted at Nature Publishing Group: Scientific Reports.
Recurrent Spiking Networks Solve Planning Tasks
Nature Publishing Group: Scientific Reports, 6 (21142), 2016.
Postdoctoral fellow at IAS, Darmstadt
Elmar Rueckert joined the Autonomous Systems Labs of Prof. Jan Peters as Post-Doc in March 2014.
Ph.D. Defense – Summa Cum Laude (with honors).
At the Technical University Graz, Austria with Prof. Wolfgang Maass.
Two Journal Papers Accepted at Frontiers in Computational Neurosciene
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
M.Sc. defense – Summa Cum Laude (with honors).
At the technical University Graz with Prof. Horst Bischof.