Tadawute Supaongprapa

Papers

Total Citations

135

H-Index

About

Tadawute Supaongprapa is a pioneering researcher in robotic auditory perception and autonomous navigation, whose work bridges the gap between biological hearing models and practical robotics. His most influential contribution, the 1999 paper "A model-based sound localization system and its application to robot navigation" (113 citations), introduced a novel approach that mimics the human auditory system's precedence effect to overcome echoes and reverberations—a critical challenge for real-world robots. Building on this foundation, his 2002 work "Mobile robot and sound localization" (22 citations) demonstrated a fully integrated mobile platform combining real-time sound localization with sonar-based obstacle detection, enabling robots to navigate acoustically complex environments. Supaongprapa's key research areas include computational auditory scene analysis, bio-inspired sensor fusion, and human-robot interaction. His sound localization model remains a foundational reference for researchers developing hearing-enabled autonomous systems, particularly in applications requiring robust performance in reverberant spaces. By translating principles of human binaural hearing into engineering solutions, he has significantly advanced the field of robot audition, inspiring subsequent work on auditory SLAM and sound-source tracking for service and assistive robotics.