Ully Raihany
Papers
1
Total Citations
2
H-Index
1
About
Ully Raihany’s research bridges robotics and computer vision, with a focus on enabling machines to perceive and manipulate transparent objects—a notoriously difficult challenge in automation. Her most-cited work, “Robotic Arm Combined with the Visual Images in a Transparent Object Recognition” (2020), introduces a novel system that integrates a robot-mounted camera with LabView to perform coordinate transformations, allowing a robotic arm to accurately recognize and handle transparent bottles for pick-and-place tasks. This contribution addresses a critical gap in industrial robotics, where transparent materials often confound standard sensors. With 2 citations, the paper demonstrates early impact in a niche but growing field. Raihany’s work exemplifies how combining visual data with robotic control can unlock new capabilities in manufacturing and logistics. Her research is particularly valuable for students and engineers seeking to advance automation in environments requiring precision handling of visually ambiguous objects. By tackling transparency—a hurdle that stymies many conventional systems—Raihany is helping to pave the way for more versatile, adaptive robots in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1