Stone Cheng

National Yang Ming Chiao Tung University

Papers

Total Citations

H-Index

About

Stone Cheng is a researcher whose work bridges the critical intersection of robotics, motion control, and human-robot interaction. His key research areas include FPGA-based motion control systems for industrial applications and the development of emotionally expressive humanoid robots. Cheng’s major contributions are twofold: he pioneered the use of Field Programmable Gate Arrays (FPGA) for precise motion control in wafer-handling robots, designing a system with a Nios II processor that enables three-degree-of-freedom motion—a vital innovation for semiconductor manufacturing. Additionally, he explored the frontier of affective robotics by developing a framework that allows humanoid robots to render emotional movements inspired by real-time analysis of music signals, drawing on Laban Movement Analysis to translate musical features into expressive gestures. While his citation counts (3 and 2) reflect a focused, early-career impact, his work is notable for its interdisciplinary ambition, combining hardware-level control engineering with the nuanced challenge of machine emotion expression. This dual focus positions Cheng as a researcher who not only advances practical automation but also pushes toward more intuitive, emotionally resonant human-robot collaboration.