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About

Jinha Park is a pioneering researcher at the intersection of robotics, artificial intelligence, and human factors engineering, with a primary focus on advancing safe and intuitive Human-Robot Collaboration (HRC) in manufacturing. His work centers on three key pillars: intelligent virtual assistants for industrial robots, digital twin-based safety monitoring, and multimodal sensing for operator state detection. Park’s most cited paper, “How can I help you? An Intelligent Virtual Assistant for Industrial Robots” (2021, 39 citations), introduces NLP-driven virtual agents that break traditional human-robot interaction barriers by enabling natural language commands in industrial settings. He further developed a Digital Twin-based Workspace Monitoring System (2022, 15 citations) that integrates safety-rated sensors with real-time digital replicas to enforce Safety-rated Monitored Stop and Speed and Separation Monitoring protocols, significantly reducing collision risks. His recent work on detecting worker attention lapses using eye tracking and multimodal sensing (2023) addresses a critical gap in close-proximity HRC by enabling robots to interpret human cognitive states. Park’s contributions are vital for transitioning manual manufacturing processes into collaborative, AI-enhanced environments, balancing productivity with rigorous safety standards. His research has direct implications for Industry 4.0, offering practical frameworks for integrating digital twins and product lifecycle management into existing workflows.