Student Theses
Current topics for Ingenieurpraxis (IP), Forschungspraxis (FP), Bachelor Thesis (BA), or Master Thesis (MA) are listed here. If you find a topic interesting, please reach out to the respective contact person.
Title | MA | BA | FP | IP | |
X | |||||
Data-driven Semigroup Equivariant Neural Models (Max Beier, PDF) | X | X | |||
Fusion of Model Predictive Control and Reinforcement Learning for the Safe Exploration of Unknown Systems with Latent States (Robert Lefringhausen) [PDF] | X | (X) | |||
Learning Latent Spaces for Probabilistic Movement Primitives (Neha Das, Samuel Tesfazgi) [PDF] | X | X | |||
Reinforcement Learning for Robotic Grasping of Flexible Materials (Jan Brüdigam) [PDF] | X | ||||
Physically Consistent Learning & Control of Lagrangian Systems with Dissipation (Giulio Evangelisti) [PDF] | X | X | |||
Learning Stable Human Motion Models using approximate Inverse Reinforcement Learning (Samuel Tesfazgi) [PDF] | X | (X) | |||
Learning for control of wrist-hand movements based on Functional Electric Stimulation (Samuel Tesfazgi) [PDF] | X | (X) | X | ||
Neuromechanical modeling for physical Human-Exoskeleton-Interaction (Samuel Tesfazgi) [PDF] | X | (X) | X | ||
Data-driven linear prediction methods for nonlinear dynamical systems (Petar Bevanda) [PDF] | X | ||||
Simulation of physical Human-Exoskeleton-Interaction with soft contacts (Samuel Tesfazgi) [PDF] | X |