G Rexha
Papers
1
Total Citations
2
H-Index
1
About
G. Rexha is a researcher focused on the intersection of artificial intelligence and robotics, with a particular emphasis on autonomous object manipulation. Their work centers on enabling robotic systems to perceive, recognize, and physically interact with their environment. In their most cited paper, "Detection, Recognition, and Grasping of Objects through Artificial Intelligence Using a Robotic Hand" (2022), Rexha developed a system that allows a robotic hand to detect and grasp everyday objects in real time. This was achieved by implementing the YOLO algorithm for object detection, filtering for man-made items, and integrating that data into a grasping mechanism. While the work has garnered 2 citations to date, it represents a foundational step in bridging computer vision and robotic control. Rexha’s contributions are particularly relevant for advancing assistive robotics and industrial automation, where reliable object recognition and handling are critical. Their research demonstrates a practical approach to embedding AI in physical systems, offering a glimpse into more intuitive human-robot collaboration.
Research Focus
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Top Papers
- 1