Publications

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Autonomous Navigation constraint optimization Deep Learning graphical models Grasping Human motion analysis human motor control Human-Robot Interaction intrinsic motivation inverse dynamics machine learning Manipulation Medical Robotics mobile navigation model learning movement primitives muscle synergies neural network policy search Probabilistic Inference Probabilistic Movement Primitives Reinforcement Learning RNN Simulation SLAM smart sensors SOC spiking Tactile Sensing Transfer Learning

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2014

Rueckert, Elmar

Biologically inspired motor skill learning in robotics through probabilistic inference PhD Thesis

Technical University Graz, 2014.

Links | BibTeX | Tags: graphical models, locomotion, model learning, morphological compuation, movement primitives, policy search, postural control, Probabilistic Inference, Reinforcement Learning, RNN, SOC, spiking

Biologically inspired motor skill learning in robotics through probabilistic inference

2013

Rueckert, Elmar; d’Avella, Andrea

Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems Journal Article

In: Frontiers in Computational Neuroscience, vol. 7, no. 138, 2013.

Links | BibTeX | Tags: locomotion, movement primitives, muscle synergies

Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems

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Journal Articles

Rueckert, Elmar; d’Avella, Andrea

Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems Journal Article

In: Frontiers in Computational Neuroscience, vol. 7, no. 138, 2013.

Links | BibTeX

PhD Theses

Rueckert, Elmar

Biologically inspired motor skill learning in robotics through probabilistic inference PhD Thesis

Technical University Graz, 2014.

Links | BibTeX