Leszek Ambroziak
Papers
8
Total Citations
92
H-Index
5
About
Leszek Ambroziak is a robotics researcher whose work spans autonomous aerial systems, medical robotics, and intelligent perception. His primary research areas include formation control of unmanned aerial vehicles (UAVs), humanoid medical assistants, and machine learning for object detection. Ambroziak’s most significant contribution is his development of a local and asymmetrical potential field approach for leader tracking in rigid formations of fixed-wing UAVs (2017, 43 citations), which addresses the fundamental challenge of reconciling tracking precision with flight stability under nonholonomic constraints. He further refined this work with an adaptation mechanism for position tracking precision (2019, 14 citations). In medical robotics, Ambroziak led the development of Bobot, a humanoid robotic assistant for children’s hospitals at Białystok University of Technology, designing systems for patient temperature measurement (2018, 11 citations) and autonomous indoor navigation with SLAM and obstacle detection (2018). His recent work on CNN training for aerial image object detection (2022, 9 citations) and kinematic analysis of RHex hexapod robots (2024) demonstrates his continued impact across multiple robotic domains.
Research Focus
Key Achievements
Top Papers
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- 3Patients temperature measurement system for medical robotic assistant11 citations · 2018
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- 5Humanoid medical assistant and companion robot for patients9 citations · 2018
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