Papers
2
Total Citations
7
H-Index
2
About
Alexej Janz is a researcher specializing in precision robotics and mechatronic systems, with a core focus on macro-micro-manipulators for high-accuracy industrial applications. His major contributions lie in developing disturbance rejection control strategies that integrate visual feedback to enhance milling precision, effectively compensating for positioning errors in robotic manipulators. Janz’s work demonstrates how piezoelectric micro-positioning stages, mounted on industrial robot end-effectors, can correct macro-level inaccuracies to achieve micro-level tasks such as micro-assembly and micro-milling. His most cited paper, “Increasing milling precision for macro-micro-manipulators with disturbance rejection control via visual feedback” (2017, 5 citations), showcases a novel approach to real-time error compensation. Additionally, his research on 6D-measurement systems using two-view vision (2013, 2 citations) provides foundational methods for precise end-effector position determination. Though his citation counts are modest, Janz’s contributions are significant for advancing the precision of automated manufacturing systems, offering practical solutions for bridging the gap between macro-scale robotics and micro-scale operations. His work is particularly valuable for students and researchers exploring the intersection of robotics, control systems, and precision engineering.
Research Focus
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Top Papers
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