Contact:
- email:
- michal.czubenko@pg.edu.pl
Positions:
Associate professor
- workplace:
- Katedra Systemów Decyzyjnych i Robotyki
Budynek A Wydziału Elektroniki, Telekomunikacji i Informatyki, EA 638

Publications:
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Publication
- M. Czubenko
- P. Łyczko
- R. Okuński
- Archives of Control Sciences - Year 2025
The article describes the grasping point algorithm (GPA), aimed to determine points for picking up objects by a manipulator equipped with a proprietary gripper enabling three picking modes (suction cup, two fingers, three fingers). The paper outlines the topic of unknown object picking using various types of grippers, both from a stack of objects and stand-alone items. It describes details of four methods available in the literature....
Full text to download in external service
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Publication
- ARTIFICIAL INTELLIGENCE REVIEW - Year 2023
Concepts based on psychology fit well with current research trends related to robotics and artificial intelligence. Biology-inspired cognitive architectures are extremely useful in building agents and robots, and this is one of the most important challenges of modern science. Therefore, the widely viewed and far-reaching goal of systems research and engineering is virtual agents and autonomous robots that mimic human behavior in...
Full text available to download
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Publication
- A. Stefańska
- T. Stefański
- M. Czubenko
- Year 2023
ChatGPT is an application that uses a large language model. Its purpose is to generate answers to various questions as well as provide information, help solve problems and participate in conversations on a wide range of topics. This application is also widely used by students for the purposes of learning or cheating (e.g., writing essays or programming codes). Therefore, in this contribution, we evaluate the ability of ChatGPT...
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Publication
- M. Czubenko
- A. Chrzanowski
- R. Okuński
- ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE - Year 2023
The article reviews neural network architectures designed for the segmentation task. It focuses mainly on instance segmentation of stacked objects. The main assumption is that segmentation is based on a color image with an additional depth layer. The paper also introduces the Stacked Bricks Dataset based on three cameras: RealSense L515, ZED2, and a synthetic one. Selected architectures: DeepLab, Mask RCNN, DEtection TRansformer,...
Full text available to download
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Publication
- Year 2022
Diseases related to the human respiratory system have always been a burden for the entire society. The situation has become particularly difficult now after the outbreak of the COVID-19 pandemic. Even now, however, it is common for people to consult their doctor too late, after the disease has developed. To protect patients from severe disease, it is recommended that any symptoms disturbing the respiratory system be detected as...
Full text to download in external service