Achmad Hidayatno

Papers

Total Citations

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About

Achmad Hidayatno is a researcher specializing in intelligent control systems, computer vision, and human-machine interaction, with a focus on assistive technologies and pattern recognition. His work bridges artificial neural networks and real-world applications, particularly in enabling autonomous or semi-autonomous devices for individuals with disabilities. One of his key contributions is the development of a speech recognition system using backpropagation neural networks for controlling mobile robots, which demonstrated how feature extraction methods like Linear Predictive Coding (LPC) and Fourier transforms can be applied to robotic control. He also advanced computer vision by creating a corner detection method using chain codes for two-dimensional shape recognition, improving object identification under varying conditions. Additionally, Hidayatno designed a smart wheelchair controlled by head movements, addressing mobility challenges for disabled users who cannot operate standard wheelchairs. Though his citation counts are modest—with his most cited paper receiving 4 citations—his work represents foundational steps in integrating neural networks and vision-based control into practical assistive systems. His research contributes to the growing field of intelligent robotics and accessible technology, offering valuable insights for students and researchers exploring human-centered automation.