Benjamin Metka

supervision of bachelor and master students, led programming exercises in C/C++, occasionally held lectures in C/C++ and machine learning

visual localization and navigation of a mobile robot using an unsupervised learning method (Slow Feature Analysis), comparison to visual SLAM, robust representations for long-term outdoor localization, unsupervised learning of a mapping from slow feature to metric space for odometry integration, navigation in slow feature space

development of a system for external pose estimation of a mobile robot during autonomous operation based on optical marker detection and pose estimation, visualizations of the recordings (trajectory overlaid on a bird's eye view, heat map)

Research in the field of visual localization.

Development of interactive Augmented Reality applications using the instant reality framework.

Development of web applications using the grails framework and WampServer.

Development of Augmented Reality applications.

machine learning, computer vision, robotics, speech recognition/synthesis, human machine interaction, interdisciplinary project

programming, software engineering, data bases, computer networks, operating systems