Projects

The object of the study is the controls for a group of unmanned aerial vehicles (UAVs) that ensure seamless interaction between the devices, as well as their adaptive functioning in a non-deterministic environment on agricultural land.

The development and application of modern digital and robotic technologies in industrial aquaculture contributes to ensuring food security and the formation of an environmentally friendly commodity production industry. The project will solve the scientific and technical problem of increasing the productivity of aquatic farms and reducing the environmental burden on freshwater during intensive fish farming by developing intelligent production solutions for processing big data images and video recordings of fish, environmental parameters and behavioral characteristics of aquatic organisms using machine learning and artificial intelligence technologies that provide robotic services for industrial aquaculture.

One of the scientific problems in the field of terrestrial seismic systems (SS) is the formation and maintenance of an integrated technological infrastructure that ensures their operability in an unprepared environment. In the case of wired systems, this requirement is associated with significant time and resource costs, and thus does not allow for rapid deployment of SS. The current trend in the creation of ground-based SS is the gradual abandonment of cable solutions and the transition to autonomously functioning digital nodes, in a single device combining a primary seismic sensor with a recording system. The advantage of nodal systems is simpler deployment and "robustness", expressed in the resilience of nodes to disruption of data transmission channels between them and the central node of the CC. The disadvantage of existing solutions in this area is the unavailability of operational information about the quality of the experimental data obtained, as well as the lack of real-time seismic experiment management capabilities. Thus, to date, there are practically no SS capable of rapid deployment on the ground and at the same time allowing full monitoring and control of the experiment in real time. Co-executive Director: Immanuel Kant Baltic Federal University R-sensors LLC

As a result of the work, an integrated approach to wireless energy transmission has been developed for surface and underwater vehicles.