Chun-Yuan Lai

National Chin-Yi University of Technology

Papers

Total Citations

H-Index

About

Chun-Yuan Lai is a researcher whose work lies at the intersection of robotics, speech recognition, and intelligent human–machine interaction. His most cited paper, "Implementation of a Tour Guide Robot System Using RFID Technology and Viterbi Algorithm‐Based HMM for Speech Recognition" (2014, 8 citations), demonstrates a key contribution: integrating RFID localization with Hidden Markov Model (HMM)-based speech recognition to create an omni-directional mobile robot capable of voice control and autonomous tour guidance. By applying short-time processing for speech signal capture and the Viterbi algorithm for efficient decoding, Lai advanced the practical deployment of interactive service robots. His work showcases how combining sensor technologies with robust speech processing can enable robots to navigate environments and respond to user commands in real time. Although his citation count reflects a focused, early-career impact, Lai’s research offers a valuable foundation for students and engineers interested in developing context-aware, voice-controlled robotic systems for public spaces like museums or campuses. His approach highlights the importance of integrating multiple sensing modalities to achieve reliable, user-friendly autonomous behavior.