About LAPIS projects

Scientific projects

ExQuMe - Explaining Quantum Mechanics SAFER - Smart AI- and IoT-based Fire Extinguisher CPM Smart Predictive Analytics for Reliable Turbine Assets AERONAUT - Advancing research capacities for the development of autonomous marine-aerial systems for novel Adriatic applications Nonverbal Communication-Based Adaptive Learning Model for Interactive AI Agents Virtual - transfer - Technology Transfer of an Affective Virtual Being for Immersive Interaction AMICORC Project ACRON - A New Concept of Applied Cognitive Robotics in Clinical Neuroscience Mixed reality applications

Student projects

Robotic plotter for printing photos in the vertical plane A mechanism for directing the virtual agent's gaze based on sound and visual input A robotic manipulator for printing photos Computational model for classification and counting of push-ups Data transmission between two computers using blockchain technology Artificial intelligence and virtual reality in creating interactive 3D environments Automated label quality control using computer vision and a collaborative robot Control of a robot using real-time hand gesture recognition Real-time driver state detection A vision system for controlling an industrial robot with hand movements

Acron a new concept of applied cognitive robotics in clinical neuroscience

Duration: 2014 - 2018

Programme: Croatian Science Foundation (HRZZ), Research Project, IP-2013-11-4192

ACRON develops a new generation of cognitive robotic systems for clinical neuroscience, building on prior results from the RONNA robotic neurosurgical navigation platform.

The project introduces an advanced cognitive architecture enabling context-aware, anticipatory robot behaviour in dynamic surgical environments. Moving beyond traditional sensor-driven approaches, the system leverages AI to model interaction context, anticipate actions, and support adaptive decision-making in real time.

By integrating human, robot, and environment into a shared information space, ACRON enables safe and efficient collaboration, including collision avoidance, task-aware behaviour, and precise execution during medical procedures. This work establishes a foundation for next-generation agentic medical robots operating in complex, real-world clinical settings.