Industrial Solutions
ACROSS - Automation, Control and Robotic Systems
Topics
Smart Agriculture; Industry 4.0; Industrial Solutions; Energy Systems; Smart Cities; Smart Grids; Transportation
Technologies
Industrial robots; PID autotuners; HIL simulators; controller design;
Description
The ACROSS research group focuses on applied research on control systems for machines and industrial processes. The research includes the development of unique control algorithms, the design of advanced real-time HIL simulators, and the development of non-standard robots and manipulators. With a history of more than 20 years, it collaborates with industry and universities on national and international projects.
DiagEn laboratory
Domains
Industry 4.0; Industrial Solutions; Energy Systems;
Technologies
technical diagnostics; remote monitoring; anomaly detection; robotics;
Description
DiagEn is at the forefront of research and development in technical diagnostics and automated robotic guidance. Our team dedicated to diagnostics focuses on developing advanced methods and systems, with applications that extend beyond the power generation sector. Another part of the team is focused on robotics, creating innovative vision-based robotic guidance systems, particularly for high-precision laser machining technologies.
Computer Vision laboratory
Domains
Industry 4.0; Industrial Solutions; Infrastructures; Cultural Heritage, Health & Wellness, Smart Cities, Security, Transportation, Accessibility, Communication
Technologies
Robotics, Artificial Intelligence, Machine Learning, Large Language Models, Deep learning, Big Data, Neural Networks, Data mining, Edge Computing, Signal processing, Human-computer interaction, Computer Vision
Description
The Computer Vision (CV) lab focuses on the research and development of cutting-edge applications that utilize visual data—both images and video. Our work spans a variety of tasks, including image classification, object detection, optical character recognition (OCR), and quality assessment. While we employ classical computer vision techniques such as image preprocessing, segmentation, and morphological operations, our primary focus is on modern deep learning methods. We work with state-of-the-art neural network architectures, conducting training, evaluation, fine-tuning, and adapting these models to meet novel challenges and develop innovative solutions.
AAI: Applied Machine Learning and Artificial Intelligence
Domains
Smart Grids, Industry 4.0, Smart Cities, Transportation, Accessibility, Energy & Climate Policy
Technologies
Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning, Multi-Agent Systems, Internet of Things, Reinforcement Learning, Human-Machine Interaction, Robotics, Large Language Models, Web Technologies, Edge Computing
Description
At AAI, we focus on fundamental and applied research in machine learning and artificial intelligence without being limited to specific fields or domains. We design advanced neural network architectures and apply modern AI models, agent-based technologies, and reinforcement learning principles to address real-world challenges. Our projects deliver comprehensive software solutions for robotics, the Internet of Things, or smart home systems.
Speech and Language Technologies (SALT)
Domains
Communication; Health and Accessibility; Industry 4.0; Smart Cities; Security; Cultural Heritage; Transportation and Aerospace
Technologies
speech recognition; speech synthesis; dialogue systems; natural language processing
Description
In the speech and language technologies group, we focus on research and development of advanced solutions related to voice-based human-computer communication. Characteristic examples include systems for automatic subtitling of television programs, multimodal and voice-based dialogue systems and chat applications, searching in extensive multimedia archives, or voice cloning technologies. During development, we employ the latest knowledge in the field of artificial intelligence (AI) and deep learning.