Nathan Huang

Intel (United States), Northwell Health, Oakland University

Papers

Total Citations

H-Index

About

Nathan Huang is a rising leader in socially assistive robotics, with a research focus on using human-robot interaction to support vulnerable populations, including children with autism spectrum disorder (ASD) and older adults. His work centers on developing robot-mediated interventions that teach real-world skills—from classroom readiness to job interview preparation and fall prevention. Huang’s most cited study, “Robot-mediated Group Instruction for Children with ASD: A Pilot Study” (2022, 10 citations), demonstrated how social robots can help children with ASD practice attending and responding to an instructor—a critical step toward inclusive education. He extended this approach to vocational training in “Robot-mediated Job Interview Training for Individuals with ASD” (2023), where a Furhat robot coached young adults on nonverbal communication. In parallel, his pilot cohort study on robotic delivery of the Otago Exercise Program (2023) showed promise in improving balance and reducing fall risk in older adults. Though early in his career, Huang’s work bridges engineering and clinical practice, offering scalable, engaging tools for skill-building across the lifespan. His growing citation record reflects the timeliness and translational potential of his research.