Studentische Arbeiten
Aktuelle Themenstellungen für die Ingenieurpraxis (IP), Forschungspraxis (FP), Bachelorarbeit (BA) oder Masterarbeit (MA) werden hier aufgelistet. Bitte wenden Sie sich bei Interesse direkt an die angegebene Kontaktperson.
Aktuell Ausgeschriebene Arbeiten
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 |