Max Robotics — Global Service Robot Directory + US Certification

About

Pei-Chun Lin is a researcher specializing in human-robot interaction, social robotics, and intelligent computing systems. Their work bridges the technical and experiential dimensions of robotics, with a particular focus on making robots more perceptive, expressive, and socially attuned to human users. Among Lin's most notable contributions is their development of a speech recognition system integrating Google Voice with privacy identification capabilities for social robots, which has garnered 12 citations since its publication in 2022 and represents a meaningful step forward in secure, conversational human-robot communication. Complementing this, their experimental work on facial and color emotion expression in social robots — cited 9 times — demonstrates a commitment to enriching the emotional intelligence of robotic systems. Lin's earlier research introduced the innovative concept of Music Visualization on Robot (MVR), a prototype system that dynamically synchronizes a robot's flashlight, color, and emotional expression with musical cues through beat tracking — a creative fusion of robotics and multimedia computing. More recently, their editorial role in a focused section on intelligent human-robot collaboration reflects growing leadership within the research community. Across their body of work, Lin consistently advances the frontier of robots that can sense, respond to, and meaningfully engage with the humans around them.