Youjin Jang
North Dakota State University, ORCID, Dakota State University
Papers
5
Total Citations
156
H-Index
5
About
Youjin Jang is an emerging researcher at the forefront of human-robot collaboration (HRC) and autonomous robotics in the construction industry. Their work spans computer vision-based activity recognition, mobile robot navigation, and the psychophysiological dimensions of human-robot trust — a uniquely interdisciplinary portfolio that bridges engineering, cognitive science, and construction management. Jang's most influential contribution, a multi-camera framework for human activity recognition in construction settings (42 citations), addresses critical safety gaps when robots operate alongside human workers. Complementing this, their 2021 study on autonomous navigation over uneven terrain (38 citations) provides practical solutions for deploying mobile robots in the notoriously unstructured conditions of active construction sites. Perhaps most distinctively, Jang has pioneered the investigation of worker trust in HRC environments, employing psychophysiological measurements and immersive virtual reality to quantify and predict how humans respond to robotic collaborators — work that has rapidly accumulated over 76 combined citations across three papers since 2024 alone. This trust-centered research agenda fills a critical gap in understanding the human side of robotic adoption. For students and researchers interested in the future of smart construction and human-centered robotics, Jang's growing body of work offers both technical rigor and meaningful real-world relevance.
Research Focus
Key Achievements
Top Papers
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