Yasser Shekofteh

Amirkabir University of Technology, Shahid Beheshti University

Papers

Total Citations

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About

Yasser Shekofteh is a researcher whose work bridges biologically inspired robotics and Persian natural language processing. His key research areas include serpentine robot locomotion and wake word detection for human-robot interaction. Shekofteh’s most notable contribution is the design and control of a snake robot modeled after actual snake anatomy, a project that has garnered 12 citations since 2008. This work explores how multi-segmented, serpentine structures can achieve superior mobility in complex environments, offering practical applications for search-and-rescue and exploration robotics. More recently, Shekofteh has ventured into speech technology with the creation of “Robat-e-Beheshti,” a Persian wake word detection dataset containing 5,738 audio files. Although this 2022 work currently has 2 citations, it represents a significant step toward enabling Persian-speaking users to interact with robots through voice commands. By combining mechanical design with linguistic data collection, Shekofteh demonstrates a versatile approach to robotics—one that considers both the physical constraints of movement and the cultural-linguistic needs of end users. His work is particularly valuable for researchers interested in non-English human-robot interfaces and bio-inspired locomotion systems.