V Sejdiu
Papers
1
Total Citations
2
H-Index
1
About
V. Sejdiu is a researcher advancing the intersection of artificial intelligence and robotics, with a primary focus on object detection, recognition, and autonomous manipulation. Their most cited work, "Detection, Recognition, and Grasping of Objects through Artificial Intelligence Using a Robotic Hand" (2022), demonstrates a practical integration of the YOLO algorithm with robotic hardware, enabling a robotic hand to perceive, filter, and grasp everyday objects in real time. This contribution bridges computer vision and physical interaction, offering a streamlined approach for robots to identify man-made objects and execute precise grasps—a critical step toward more autonomous and responsive robotic systems. With 2 citations, this paper has laid foundational groundwork for further exploration in intelligent grasping. Sejdiu’s research holds promise for applications in assistive robotics, manufacturing automation, and human-robot collaboration, where reliable object handling is essential. Their work reflects a growing trend toward embedding deep learning in robotic control, making robots not just reactive but perceptually aware. For students and researchers, Sejdiu’s contributions offer a clear example of how AI can empower machines to interact meaningfully with their environment.
Research Focus
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Top Papers
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