Lecture on estimation for localization and tracking of autonomous mobile robots. This task relies on methods to model and estimate the state of a mobile robot, to treat model errors and sensor noise, and to fuse data from multiple sensors.

Seminar on data analysis, time-to-failure prediction, and anomaly detection for predictive maintenance in industrial process automation. 

AMS lab projects on current, research-related areas like mobile robotics, sensor data fusion, navigation and planning, and optimization and control.