Hooman Heidari

Asia Pacific University of Technology & Innovation

Papers

Total Citations

H-Index

About

Hooman Heidari is a researcher whose work sits at the intersection of robotics, signal processing, and human–machine interaction. His most cited contribution, “Isolated Word Command Recognition for Robot Navigation” (2012, 8 citations), demonstrates a practical system for controlling robot movement using five spoken commands—Go, Stop, Left, Right, and Back. In this project, Heidari applied Fast Fourier Transform (FFT) and a Butterworth filter for noise cancellation, enabling reliable voice-based navigation in real-world environments. This early work showcases his ability to bridge speech recognition and autonomous systems, laying groundwork for more intuitive robot control interfaces. While his citation count reflects a focused, early-career output, the project’s integration of signal processing and robotics highlights his technical versatility. Heidari’s research contributes to the broader goal of making robots more accessible through natural language commands, a key challenge in assistive and service robotics. His work remains relevant for students and engineers exploring low-resource speech interfaces for embedded robotic platforms.