Ming‐Yi Lin

Yuan Ze University, Taipei City University of Science and Technology

Papers

Total Citations

H-Index

About

Ming-Yi Lin is a pioneering researcher at the intersection of embodied artificial intelligence, human-robot interaction (HRI), and advanced educational technology. Their work centers on integrating large language models (LLMs) with robotic systems to create emotionally intelligent, autonomous agents capable of high-level cognition and personalized interaction. Lin’s most cited paper, “Embodied AI with Large Language Models: A Survey and New HRI Framework” (2024), has garnered 12 citations and introduces a novel emotional logic engine that enables robots to provide empathetic connections, logical inference, and knowledge representation—a foundational contribution to next-generation companion robots. In parallel, Lin has advanced industrial automation through “High-precision time synchronization chip design for industrial sensor and actuator network” (2022, 11 citations), demonstrating versatility in hardware-software co-design. Their latest work, “Interactive Companion Robot and AR-Assisted Learning System for Innovative Children’s Education” (2025), applies these principles to support dual-income families, blending augmented reality with interactive robotics to enhance parent-child learning. With a portfolio spanning cognitive robotics, embedded systems, and educational innovation, Lin’s research is shaping how machines understand, respond to, and collaborate with humans in both industrial and domestic settings.