Papers
2
Total Citations
10
H-Index
2
About
Mario Andrei Ivan is a rising researcher in industrial robotics, specializing in kinematic modeling, precision positioning, and vision-guided automation. His work addresses critical challenges in robotic accuracy, particularly the compensation of thermal deformation errors in serial-arm industrial robots. In his highly cited 2023 paper, Ivan introduced a novel methodology for creating simplified forward kinematic models that correct positioning errors caused by thermal effects—a departure from classical approaches that ignore real-time operational conditions. This contribution has garnered 8 citations, signaling its relevance to both academia and industry. In 2024, Ivan extended his focus to high-speed robotic assembly, proposing a camera calibration procedure that leverages 3D laser scanning to determine the measuring plane, thereby enhancing the accuracy of vision-guided systems in both structured and unstructured environments. Though early in his career, Ivan’s work bridges the gap between theoretical kinematics and practical manufacturing, offering scalable solutions for precision assembly. His research is particularly impactful for engineers developing adaptive robotic systems, and his growing citation record reflects a promising trajectory in the field of industrial automation and metrology.
Research Focus
Key Achievements
Top Papers
- 1
- 2Camera Calibration in High-Speed Robotic Assembly Operations2 citations · 2024