Real-time driver state detection A vision system for controlling an industrial robot with hand movements Integration of a camera and virtual reality with a robotic arm Application of computer vision in the recognition and interpretation of sign letters Mapping of characteristic points of the human face using machine learning and Blender software Six-legged robotic insect Two-way communication based on the MQTT protocol within the virtual and real environment

Projects

Research Areas

The core research activities of LAPIS include:

Artificial Intelligence and Cognitive Systems – machine learning, agentic systems, and cognitive architectures for real-world applications
Cyber-Physical Systems and Industry 4.0 – integration of physical processes with digital infrastructures
Internet of Things (IoT) Systems – distributed sensing, edge computing, and connected device ecosystems
Computer Networks and Communication Systems – network architectures, protocols, and secure data exchange in industrial environments
Smart Spaces and Environments – intelligent environments that integrate sensors, actuators, and AI for adaptive and context-aware behavior
Human–Machine Interaction – multimodal interfaces, affective computing, and user-centered system design
Virtual, Augmented, and Mixed Reality – immersive technologies for training, simulation, and human–robot collaboration
Digital Twins and Simulation – modeling, simulation, and optimization of manufacturing processes and systems
Intelligent Manufacturing Systems – design and optimization of smart production systems using AI-driven decision-making and data analytics
Robotics and Automation – industrial robotics, collaborative robots (cobots), and advanced control systems

Mission and Vision

The mission of LAPIS is to bridge the gap between theoretical research and industrial application by developing innovative, scalable, and sustainable technological solutions. The laboratory actively collaborates with industry partners, research institutions, and international consortia to transfer knowledge and foster technological advancement.

LAPIS aims to contribute to the digital transformation of industry by advancing intelligent systems that are not only efficient and robust but also human-aware, networked, and context-aware within smart environments.

Education and Impact

In addition to research, LAPIS plays a key role in higher education, particularly through its central role in the Cybernetics and Bioinspired Systems module. The laboratory supports undergraduate, graduate, and doctoral studies in robotics, artificial intelligence, IoT, and advanced manufacturing.

Students are actively involved in research projects, gaining hands-on experience with cutting-edge technologies such as connected systems, intelligent environments, and advanced robotic platforms.

Through its research, teaching, and collaboration activities, LAPIS contributes to shaping the future of intelligent manufacturing, smart environments, and human-centered technological systems.