Minija Tamousinaite
Papers
1
Total Citations
12
H-Index
1
About
Minija Tamošiūnaitė is a researcher whose work sits at the intersection of industrial robotics, computer vision, and flexible manufacturing. Her primary research focuses on developing intelligent, reconfigurable automation solutions tailored for small and medium-sized enterprises (SMEs), which face the challenge of producing small batches with rapidly changing product designs. Her most cited work, "Visual Inspection and Error Detection in a Reconfigurable Robot Workcell: An Automotive Light Assembly Example" (2018, 12 citations), exemplifies this focus. In this study, she demonstrates a practical, vision-guided robotic system capable of adapting to new tasks and detecting assembly errors in real time—a critical capability for SMEs that cannot afford lengthy retooling. By integrating visual inspection directly into the workcell, her contribution addresses a key bottleneck in agile manufacturing: ensuring quality control without sacrificing flexibility. Her research has clear implications for reducing downtime and improving production efficiency in industries like automotive lighting. Tamošiūnaitė’s work is a valuable resource for engineers and researchers seeking to bridge the gap between advanced robotics and the real-world constraints of small-batch, high-mix production environments.
Research Focus
Key Achievements
Top Papers
- 1