Albert Jozsef Enyedy

Papers

Total Citations

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About

Albert Jozsef Enyedy is a robotics researcher whose work centers on visual servoing and autonomous manipulation, with a particular focus on bridging the gap between 2D perception and 3D robotic control. His most cited paper, "Stereo Image-based Visual Servoing Towards Feature-based Grasping" (2024, 4 citations), introduces an innovative approach that enables robotic manipulators to reach target positions using direct stereo image feedback, bypassing the computationally expensive step of stereo reconstruction. This work demonstrates how an eye-to-hand stereo camera configuration can guide precise movements for grasping tasks, offering a more efficient pathway for real-time robotic control. Enyedy's contributions are especially relevant to the fields of computer vision and industrial automation, where reducing processing overhead while maintaining accuracy is critical. Though early in his career, his research has already shown promise in simplifying complex perception-action loops, making robotic grasping more accessible and robust. His work represents a meaningful step toward integrating vision-based control into practical, feature-driven manipulation systems.