Teaching

  • Winter Semester 2018/19: 
  • Summer Semester 2019: 
  • Winter Semester 2019/20 (tentative plan): 
    • Probabilistic Machine Learning (RO5101 T) for graduate students (M.Sc.)
      Belongs to the ModuleRobot Learning (RO5100)
    • Advanced Topics in Robotics for graduate students (M.Sc.)
  • Summer Semester 2020 (tentative plan): 
    • Humanoid Robotics (RO5300), for under graduate students (B.Sc.)
    • Reinforcement Learning (RO5102 T) for graduate students (M.Sc.)
      Belongs to the Module Robot Learning (RO5100)
    • Advanced Topics in Robotics for graduate students (M.Sc.)

Student Theses

2018

Çallar, Tolga-Can

Design of a Simulation Framework for the Exploration of Kinematic Structures for Robotic Ultrasound Imaging (Technical Report)

Universität Lübeck B.Sc. Thesis, 2018.

(BibTeX | Links: )

Design of a Simulation Framework for the Exploration of Kinematic Structures for Robotic Ultrasound Imaging

Thiede, Clara

Construction of a universal mounting adapter for various types of ultrasound probes on a robot ange (using CAD and 3D printing) (Technical Report)

Universität Lübeck B.Sc. Thesis, 2018.

(BibTeX | Links: )

Dittmar, Denny

Distributed Reinforcement Learning with Neural Networks for Robotics (Technical Report)

Technische Universität Darmstadt M.Sc. Thesis, 2018.

(BibTeX | Links: )

Distributed Reinforcement Learning with Neural Networks for Robotics

2017

Frisch, Yannik

The Effects of Intrinsic Motivation Signals on Reinforcement Learning Strategies (Technical Report)

Technische Universität Darmstadt B.Sc. Thesis, 2017.

(BibTeX | Links: )

The Effects of Intrinsic Motivation Signals on Reinforcement Learning Strategies

Pfanschilling, Viktor

Self-Programming Mutation and Crossover in Genetic Programming for Code Generation (Technical Report)

B.Sc. Thesis, 2017.

(BibTeX | Links: )

Self-Programming Mutation and Crossover in Genetic Programming for Code Generation

Thiem, Simon-Konstantin

Simulation of the underactuated Sake Robotics Gripper in V-REP and ROS (Technical Report)

Technische Universität Darmstadt B.Sc. Thesis, 2017.

(BibTeX | Links: )

Simulation of the underactuated Sake Robotics Gripper in V-REP and ROS

Nakatenus, Moritz

LSTM Networks for movement planning in humanoids (Technical Report)

Technische Universität Darmstadt M.Sc. Project, 2017.

(BibTeX)

LSTM Networks for movement planning in humanoids

Gondaliya, Kaushik

Learning to Categorize Issues in Distributed Bug Tracker Systems (Technical Report)

Technische Universität Darmstadt M.Sc. Thesis, 2017.

(BibTeX | Links: )

Learning to Categorize Issues in Distributed Bug Tracker Systems

Polat, Harun

Nonparametric deep neural networks for movement planning (Technical Report)

Technische Universität Darmstadt B.Sc. Thesis, 2017.

(BibTeX | Links: )

Nonparametric deep neural networks for movement planning

Plage, Lena

Reinforcement Learning for tactile-based finger gaiting (Technical Report)

Technische Universität Darmstadt B.Sc. Thesis, 2017.

(BibTeX | Links: )

Reinforcement Learning for tactile-based finger gaiting

Sharma, David

Adaptive Training Strategies for Brain-Computer-Interfaces (Technical Report)

Technische Universität Darmstadt M.Sc. Thesis, 2017.

(BibTeX | Links: )

Adaptive Training Strategies for Brain-Computer-Interfaces

2016

Smyk, Mike

Model-based Control and Planning for Real Robots (Technical Report)

Technische Universität Darmstadt M.Sc. Project, 2016.

(BibTeX | Links: )

Model-based Control and Planning for Real Robots

Stark, Svenja

Learning Probabilistic Feedforward and Feedback Policies for Stable Walking (Technical Report)

Technische Universität Darmstadt M.Sc. Thesis, 2016.

(BibTeX | Links: )

Learning Probabilistic Feedforward and Feedback Policies for Stable Walking

Kohlschuetter, Jan

Learning Probabilistic Classifiers from Electromyography Data for Predicting Knee Abnormalities (Technical Report)

Technische Universität Darmstadt M.Sc. Thesis, 2016.

(BibTeX | Links: )

Learning Probabilistic Classifiers from Electromyography Data for Predicting Knee Abnormalities

2015

Tanneberg, Daniel

Spiking Neural Networks Solve Robot Planning Problems (Technical Report)

Technische Universität Darmstadt M.Sc. Thesis, 2015.

(BibTeX | Links: )

Spiking Neural Networks Solve Robot Planning Problems

2014

Mindt, Max

Probabilistic Inference for Movement Planning in Humanoids (Technical Report)

Technische Universität Darmstadt M.Sc. Thesis, 2014.

(BibTeX | Links: )

Probabilistic Inference for Movement Planning in Humanoids

Mundo, Jan

Structure Learning for Movement Primitives (Technical Report)

Technische Universität Darmstadt M.Sc. Thesis, 2014.

(BibTeX | Links: )

Structure Learning for Movement Primitives

2013

Kniewasser, Gerhard

Reinforcement Learning with Dynamic Movement Primitives - DMPs (Technical Report)

Technische Universität Graz M.Sc. Project, 2013.

(BibTeX | Links: )

Reinforcement Learning with Dynamic Movement Primitives - DMPs

Prevenhueber, Oliver

Monte Carlo Sampling Methods for Motor Control of Constraint High-dimensional Systems (Technical Report)

Technische Universität Graz M.Sc. Thesis, 2013.

(BibTeX | Links: )

Monte Carlo Sampling Methods for Motor Control of Constraint High-dimensional Systems

Gsenger, Othmar

Probabilistic Models for Learning the Dynamics Model of Robot (Technical Report)

Technische Universität Graz M.Sc. Thesis, 2013.

(BibTeX | Links: )

Probabilistic Models for Learning the Dynamics Model of Robot

2012

Prevenhueber, Oliver

Gibbs Sampling Methods for Motor Control Problems with Hard Constraints (Technical Report)

Technische Universität Graz 2012.

(BibTeX | Links: )

Gibbs Sampling Methods for Motor Control Problems with Hard Constraints

2011

Genewein, Tim

Structure Learning for Robotic Motor Control (Technical Report)

Technische Universität Graz M.Sc. Thesis, 2011.

(BibTeX)

Wiesner, Thomas

Ein Vergleich von Lernalgorithmen für Parametersuche im hochdimensionalen Raum (Technical Report)

Technische Universität Graz B.Sc. Thesis, 2011.

(BibTeX | Links: )

Ein Vergleich von Lernalgorithmen für Parametersuche im hochdimensionalen Raum