Justinian Rosca
Papers
1
Total Citations
12
H-Index
1
About
Justinian Rosca is a leading researcher in robotics and intelligent systems, with a focus on autonomous perception and manufacturing automation. His work bridges visual and tactile sensing to enable robotic systems to perform high-precision defect inspection on large-scale industrial components—a critical challenge in sectors like aerospace and automotive manufacturing. In his 2023 paper, "Robotic Defect Inspection with Visual and Tactile Perception for Large-Scale Components," Rosca addresses the difficulty of automated surface anomaly detection for quality assessment and damage localization, proposing a multi-modal approach that enhances reliability in real-world production environments. Although early in its citation trajectory, this work has already garnered 12 citations, signaling its growing influence in the field of industrial inspection. Rosca’s contributions are notable for integrating sensory data to overcome the limitations of single-modality systems, advancing the state of the art in automated quality control. His research is particularly valuable for students and engineers interested in the intersection of robotics, computer vision, and tactile sensing for smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1