Tag: Master thesis topic
Master Thesis on “Learning Latent Action Policies for Autonomous Driving”
Learning action-conditioned driving dynamics from raw pixels is challenging due to high dimensionality and weak temporal cues. This work combines Latent Action Pretraining (LAPA) with a conditional Diffusion Model to learn discrete latent actions and predict their future evolution. The framework captures multi-modal driving behaviors in latent space, enabling interpretable and data-efficient policy learning for autonomous driving.
Human-in-the-Loop Shared Control with Guaranteed Safety for Teleoperated Robots
In this project, we develop a shared control framework that guarantees safety using control-invariant sets (CISs), which are computed from the robot’s dynamics and an environmental model. The CISs ensure that unsafe human commands are overridden, while safe commands are executed normally.
Master’s thesis Topic on Analysis of Tactile Signals
We are currently seeking for a motivated and talented master’s student to work on discriminative filtering and feature extraction for classification of tactile signals.