Laboratory for Autonomous Systems and Mobile Robotics

The Laboratory for Autonomous Systems and Mobile Robotics (LAMOR), directed by Prof. Ivan Petrović of the University of Zagreb Faculty of Electrical Engineering and Computing, has a long tradition in research of advanced control strategies and estimation techniques for a variety of applications with a strong emphasis on autonomous navigation of ground and aerial robots in unknown and dynamic environments. Our methodology relies on a strong coupling between theoretical research, algorithm development, experimental evaluations, and a healthy dose of serendipity. LAMOR's research activity is organized around three major axes: Motion Planning and Control, Simultaneous Localization and Mapping, and Detection and Tracking of Moving Objects. Our laboratory is equipped with state-of-the-art ground and aerial robotic platforms, advanced perception sensors and a motion capture covered arena.

Invitation to the lecture:...

LAMOR, IEEE Croatia Robotics and Automation Chapter and ZCI-DATACROSS invite you to the lecture:

"Model-Aided Navigation Accuracy for AUVs in Deep-Sea"

which will be held by David Oertel, Karlsruhe Institute of Technology, Germany. The lecture will take place on Friday, July 20, 2018 at 11.00h, in the Seminar room of the Department of Control and Computer Engineering of the Faculty of Electrical Engineering and Computing.

You can find more about the lecturer and the seminar in the detailed news content.


Understanding and monitoring all of the world's oceans is a vital endeavour for all life on earth. It is favourable to employ mechatronic systems for performing these tasks such as mapping the seafloor. With increasing interest in the recent years, more and more Autonomous Underwater Vehicles (AUVs) are being used for that requiring sophisticated modelling and control software. Due to the lack of GPS, underwater navigation for AUVs is an ambitious task which is commonly solved as a general state estimation problem using, among others, acoustic and inertial measurements. Assuming high-quality devices combined with compact acoustic positioning sensors, it is examined which navigation accuracy can at best be expected for a typical deep-sea scanning mission with focus on adding a dynamic model from the AUV's low-level control as an additional virtual measurement.


David Oertel studied mathematics as well as computer science at KIT and finished his studies with a dual diploma. He recently received his Ph.D. at IAR-IPR and has been researching localization and navigation for UAVs in the group for Micro and Collaborative Robotics, but has started to shift his focus to industrial applications recently. He is currently also studying electrical enginieering with the goal of getting a B.Sc.E.E.

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