Sh. Tabibian

Papers

Total Citations

H-Index

About

Sh. Tabibian is a researcher specializing in human–robot interaction (HRI), with a particular focus on speech-based communication systems and intelligent robotic interfaces. Their work addresses one of the most compelling challenges in modern robotics: enabling natural, accessible, and reliable communication between humans and machines through voice. Tabibian's most significant contribution is the design and implementation of a comprehensive voice command recognition and sound source localization system, deployed on the Scout robot and a robotic face platform. This 2021 study, which has garnered 24 citations, introduced a Hidden Markov Model-based voice command detection framework along with a non-native speech database — a notable step toward making HRI systems more inclusive and globally applicable. Building on earlier foundational work, a 2018 paper focused specifically on controlling the Scout robot's movement through voice commands, accumulating 12 citations and establishing the groundwork for the later, more sophisticated system. What distinguishes Tabibian's research is its emphasis on low-cost, practical implementation — making advanced HRI technology accessible beyond well-resourced laboratories. With a combined citation count of 36 across just two key publications, their work has clearly resonated within the robotics and speech processing communities, offering meaningful insights for researchers developing next-generation socially interactive robots.