ABOUT THE GROUP
The Research Group for Intelligent Systems and Robotics (IG04) was established in 2018 within the Department of Computer Engineering and Automation (now the Department of Computer Engineering and Intelligent Systems) at the Faculty of Electrical Engineering, Computer Science and Information Technology at Josip Juraj Strossmayer University of Osijek, Croatia. The group focuses on research and development at the intersection of artificial intelligence, robotics, and automation, aiming to design intelligent systems capable of perceiving their environment, learning from data, making autonomous decisions, and operating safely and efficiently in complex real-world conditions.
The group’s mission is to bridge fundamental research with practical implementation. The group develops theoretical foundations, algorithms, and mathematical models while simultaneously creating applied solutions that address real-world challenges in industry, agriculture, autonomous vehicles, healthcare, and related domains. By combining machine learning, advanced perception systems, robotics, and intelligent control, the group aims to enable next-generation autonomous and adaptive systems.
KEY RESEARCH AREAS
- Artificial intelligence
- Machine perception
- Robot motion planning
- Natural language processing
- Process monitoring and control
RESEARCH AREAS
In robotics, the group focuses on machine perception and computer vision using RGB and RGB-D cameras for object recognition in robot manipulation and navigation, with applications in service, assistive, and agricultural robotics, as well as in robot manipulator path planning for safe and efficient motion generation. In artificial intelligence, the group develops deep neural network–based object detection systems for autonomous driving, investigates AI methods for autonomous aerial systems such as drones (quadrocopters), and conducts research in natural language processing to enhance human–machine interaction. The group also studies general-purpose methods for improving neural network training efficiency and robustness. In automation, the group advances intelligent process monitoring and control through data-driven modelling, soft sensors, fault detection and localisation, fault-tolerant systems, and adaptive continuous-learning algorithms that enable optimal control under changing operating conditions.
PROFESSIONAL EXPERTISE
The Research Group for Intelligent Systems and Robotics possesses strong professional expertise in the design and implementation of intelligent software systems across artificial intelligence, robotics, and automation. The group has extensive programming experience in languages such as Python and C++, as well as in the use of modern AI and robotics frameworks, including PyTorch, TensorFlow, and ROS. The group’s expertise covers deep learning, computer vision, object detection, and neural network optimisation, as well as motion planning and control of robotic manipulators. In automation, the group specialises in data-driven modelling, system identification, process control, soft sensor development, and fault detection and diagnosis.
KEY PROFESSIONAL EXPERTISE
- Programming in C++
- Programming in Python
- Project leadership and technical coordination
- Development of image processing applications using OpenCV
- Design and implementation of neural networks using PyTorch
- Development and programming of robotic systems using ROS (Robot Operating System), including robot manipulators and mobile robots
