Papers
2
Total Citations
29
H-Index
2
About
Dr. Olcay Kurşun is a leading researcher in tactile sensing and embedded intelligence, whose work bridges the gap between human-like touch perception and real-time machine learning. His primary research areas include tactile material classification, embedded systems for haptic data collection, and semi-supervised deep learning for texture recognition. Dr. Kurşun’s major contribution lies in developing compact, real-time systems capable of classifying material properties—a critical challenge for robotics, prosthetics, and augmented reality. His highly cited 2020 paper (26 citations) introduced an embedded system for collecting and classifying tactile datasets, demonstrating that tiny devices can achieve robust material perception. More recently, his 2023 work pioneered a semi-supervised approach using contextually guided CNNs for texture classification, reducing reliance on labeled data while maintaining high accuracy. This innovation is particularly impactful for applications like object recognition and surface exploration. Dr. Kurşun’s research is notable for its practical focus: by leveraging accelerometers and deep learning, he enables machines to identify surface features without precisely replicating human touch. His work is essential reading for students and engineers developing next-generation haptic interfaces, smart prosthetics, and autonomous robotic systems.
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Top Papers
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