Papers
4
Total Citations
20
H-Index
3
About
Cihan Uyanik is a robotics researcher focused on advancing autonomous 3D reconstruction and intelligent robotic perception for industrial applications. His primary research areas include computer vision, robotic manipulation, and sensor-guided automation, with a particular emphasis on enabling robots to interact with unknown or unstructured environments. Uyanik’s most impactful work, "Surface profile-guided scan method for autonomous 3D reconstruction of unknown objects using an industrial robot" (2021, 9 citations), introduces a novel approach that allows industrial robots to autonomously generate high-fidelity 3D models of unfamiliar objects by dynamically adjusting scanning paths based on real-time surface profiles. This contribution addresses a critical gap in automated manufacturing and inspection. His earlier research includes a deep learning method for motion segment estimation to improve pipe leak detection robot localization (2019, 5 citations), demonstrating his ability to apply AI to challenging, structurally-constrained environments like water pipes. Additionally, his 2017 paper on determining 3D surface points using a single camera and rotary stage (3 citations) laid foundational work for cost-effective 3D sensing in welding and deburring tasks. With a cumulative citation count of 20, Uyanik’s work is steadily gaining recognition for its practical impact on industrial robotics and autonomous systems.
Research Focus
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Top Papers
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