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IG04 - Research Group for Intelligent Systems and Robotics


The Research Group for Intelligent Systems and Robotics deals with research in the fields of artificial intelligence, robotics and process automation.

One of the fields in which the group has specific competencies is machine perception or computer vision with application in the field of robotics. We develop systems for recognising objects the robot can manipulate (carry or process them, or perform some other operation) and systems that allow indoor mobile robot navigation. We mainly develop methods using 3D sensors, where we have the most experience with RGB-D cameras, but the developed methodology can also be applied to the laser 3D scanner (LIDAR).

The second field of research relates to the improvement of the supervisory control system by metric-based learning methods in artificial intelligence. Within the framework of this research, methods of building mathematical data-based process models are developed, with the purpose of estimating process sizes, detecting failure and identifying the location of failure, as well as designing soft-sensors and fault-tolerant systems. In addition, adaptive models and algorithms that continually learn from plant data which are continuously gathered in the manufacturing process database so that these intelligent supervisory control systems can constantly adapt to changes in the process and ensure optimum control.

Although fundamental research is concerned, the methodologies used by the Research Group for Intelligent Systems and Robotics have the potential for broad application in industry, agriculture, healthcare and other industries.

Research areas


Robert Cupec
Full Professor with Tenure

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