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 optimization methods in robotic applications, which include simultaneous localization and mapping as well as multiple object tracking.

Seminar on sensor networks, their components, architectures, and applications in Industry 4.0, environmental monitoring and smart cities. 

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.