Darius Andriukaitis
Kaunas University of Technology, Cracow University of Technology
Papers
3
Total Citations
23
H-Index
2
About
Darius Andriukaitis is a researcher at the forefront of precision agriculture, industrial automation, and medical robotics. His work centers on developing intelligent, self-calibrating systems that enhance efficiency across diverse fields—from fertilizer quality control to autonomous surgical assistance. Andriukaitis’s most impactful contribution, his 2019 study on equipment self-calibration for fertilizer particle size distribution using image processing (18 citations), directly addresses the demands of Industry 4.0 by enabling automated, high-accuracy quality control in robotized factories. He has also pioneered novel AI-driven path planning with the MSGJO algorithm (2025, 3 citations) for mobile robots, and advanced medical robotics with a magnetically controlled capsule robot integrated with a smart motion controller (2024, 2 citations) for gastrointestinal diagnostics and targeted drug delivery. By merging computer vision, multi-strategy optimization, and mechatronic design, Andriukaitis is building the foundational technologies for smarter, more autonomous systems in both industrial and healthcare settings.
Research Focus
Key Achievements
Top Papers
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