LABUST has taken part in many scientific research projects relating to underwater systems and technologies in various roles. This includes numerous international (FP7, H2020, ONRG, INTERREG,...) as well as national projects.
On May 8th and 9th, 2024, the Montenegrin Center for Underwater Sensor Networks (MONUSEN) hosted researchers from the Faculty of Electrical Engineering and Computing at the University of Zagreb and the University of Haifa. Lecturers Assist. Prof. Đula Nađ, MSc Matko Batoš, Matej Fabijanić (UNIZG-FER), and MSc Guy Gubnitsky (UNI-HAIFA) delivered a series of lectures covering a wide range of topics in marine robotics and intelligent marine systems. The lectures were attended by professors, associates, and students from the Faculty of Electrical Engineering.
Assist. Prof. Đula Nađ presented a high-level overview of building blocks in diver-robot interaction with focus on current research. Different interaction modalities for nonhumanoid underwater vehicles were reviewed. Wearable sensor technologies for enhancing interaction and collecting information about the diver were presented together with other elements in the perception and control pipelines.
MSc Guy Gubnitsky provided an overview of recent advances in the field of neural networks enabling translation between languages even in cases where no dictionary is available. A special focus was on using unsupervised machine translation (UMT) methods to decipher communication between potentially intelligent animals such as sperm whales. Participants had the opportunity to test the automated tool for detecting and annotating communication signals.
MSc Matko Batoš spoke about the application of LiDAR technology to navigate to targets while maintaining a safe distance to avoid collisions with nearby objects and ships. Participants were also introduced to a sophisticated collision avoidance algorithm that dynamically assesses potential hazards by projecting future positions.
MSc Matej Fabijanić shared his experiences from an international competition in object detection in maritime environments. Participants also had the opportunity to learn about the application of computer vision techniques in detecting objects and obstacles from camera images.