The group carries out its activities by working in two laboratories: the Laboratory for Mobile Robotics and Vision Guidance, and the Laboratory for 3D Modeling and Visualization. The laboratories are equipped with various devices for biosignal measurements (EMG, XSens inertial sensors) and image collection (standard camcorders, 3D cameras and high-speed cameras), as well as other signal collection devices (3D scanner, Leap Motion, accelerometers, Kinect). In addition to the above, the laboratories are also equipped with several drones, mobile robotic platforms, robotics kits (Arduino, NXT Mindstorm, AlphaBot) and several types of embedded computers for use in robotics.
The subject of interest of the project group refers to different aspects of the functionality of bioidentification systems (persons or activities) and identification/visualisation of the environment realised with different types of sensors, including video recordings, but also sensors such as accelerometers, 3D scanners, magnetometers, IR sensors, etc. Considering that the group’s interest is partly focussed on bioelectrical data obtained e.g. based on EEG, accelerometers and/or phonopneumograms, from which strong individuality features can be extracted, it is expected that the theoretical framework will provide advanced machine learning methods. Subsequently, it is expected that more attention will be paid to capturing and analysing movement parameters of human body parts with the aim of evaluating rehabilitation effects.
A number of activities will focus on the control of mobile robots/ships/air vehicles used in agriculture. The research subject relates to the development of AI algorithms for the control of mobile robots, but also to recognition and detection tasks using AI techniques applicable in agriculture and/or navigation. Corresponding research contributions have been made in the area of maritime system safety and it is planned to continue these activities in the coming period.
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