Katarzyna Antosz
Papers
2
Total Citations
8
H-Index
2
About
Katarzyna Antosz is a researcher at the forefront of autonomous robotics and intelligent manufacturing systems. Her work centers on enhancing robotic precision and reliability through advanced data-driven methods. A key contribution is her development of artificial neural networks to predict a robot’s positioning repeatability error, a critical factor for high-stakes automation tasks. This foundational work, cited 3 times, directly addresses the challenge of ensuring consistent performance in industrial and hazardous environments. More recently, her 2025 study on "Simulation of Robotic Inspections Based on Systematic Data Acquisition and Analysis" (5 citations) advances the field by proposing a framework for autonomous robots to conduct thorough, systematic inspections—vital for applications in rescue operations, security, and safety management. By integrating simulation with rigorous data analysis, Antosz provides a pathway for deploying robots in hostile settings where human intervention is risky. Her research not only improves the accuracy and autonomy of robotic systems but also sets a benchmark for future work in predictive error modeling and inspection automation, making her a notable contributor to the evolution of intelligent robotics.
Research Focus
Key Achievements
Top Papers
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