Yakup Kutlu

Papers

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About

Yakup Kutlu is a researcher whose work sits at the dynamic intersection of robotics, computer vision, and artificial intelligence, with a particular focus on enabling intelligent, human-aware robotic systems. His research has consistently explored how machines can perceive and interact with their environments more effectively, ranging from vision-guided robotic arms to emotionally responsive human-robot interaction. Among his most recognized contributions is his work on computer vision-driven robot arm control, which demonstrated how robotic systems could autonomously identify and manipulate objects — a foundational challenge in practical robotics. This line of research, which has accumulated nearly 20 citations, laid important groundwork for real-world automation applications such as service robotics. His 2019 study further extended this vision, integrating Raspberry Pi hardware with 3D-printed robotic components to create accessible, intelligent object-recognition systems. More recently, Kutlu has ventured into natural language processing, proposing a hybrid sentiment analysis model tailored for Turkish-language question answering systems — a contribution that bridges computational linguistics with human-robot interaction and has already attracted 15 citations since 2023. His body of work reflects a commitment to building smarter, more perceptive robotic systems capable of navigating both physical and communicative human environments.