Max Robotics — Global Service Robot Directory + US Certification

About

Jhih-Yuan Huang is a researcher specializing in human-robot interaction, cloud robotics, and intelligent dialogue systems. His work sits at the intersection of artificial intelligence and service robotics, with a particular focus on enabling robots to engage in natural, context-aware conversations with human users. Huang's most impactful contributions center on developing sophisticated dialogue frameworks for service robots. His 2019 paper on context-aware dialoguing services (15 citations) and his 2020 work on emotion-aware human-robot dialogues (12 citations) demonstrate his sustained effort to make robots not only informationally capable but emotionally responsive — a critical advancement for real-world human-robot interaction. His 2018 research incorporating deep learning and external knowledge bases further illustrates his commitment to leveraging cutting-edge AI techniques to improve conversational naturalness and domain-specific accuracy. Beyond dialogue systems, Huang has made meaningful contributions to cloud robotics infrastructure, exploring resource sharing, service reuse, and collective mapping to enable robots to harness distributed computing power. His earlier foundational work on ontology-based service configuration and vision-enabled cloud robotic frameworks reflects a career built progressively from infrastructure to intelligent interaction. With over 45 cumulative citations, Huang's research offers valuable insights for anyone working at the frontier of intelligent, socially capable robotic systems.