Bo-Yu Tsai

National Yang Ming Chiao Tung University

Papers

Total Citations

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About

Bo-Yu Tsai is a researcher at the intersection of artificial intelligence, robotics, and human-computer interaction, with a focus on creating intelligent agents that bridge the gap between machines and human learning. His most cited work, "Intelligent agent for real-world applications on robotic edutainment and humanized co-learning" (2019, 25 citations), pioneers the integration of robotic platforms with educational entertainment, enabling collaborative learning between humans and machines in real-world settings. This contribution has laid groundwork for more intuitive, humanized AI systems in education. Tsai also explores advanced neural interfaces, as demonstrated in his paper "PFML-based Semantic BCI Agent for Game of Go Learning and Prediction" (2019, 4 citations), which introduces a novel semantic brain-computer interface (BCI) agent. By combining particle swarm optimization (PSO) with Fuzzy Markup Language (FML), this work enables real-time Go game prediction and learning, while also establishing an Open Go Darkforest (OGD) cloud platform in collaboration with Facebook AI Research (FAIR). Though early in his career, Tsai’s research signals a promising trajectory toward more adaptive, human-centric AI systems that enhance both cognitive and interactive experiences.