Shih-Chia Huang

National Taipei University of Technology

Papers

Total Citations

H-Index

About

Dr. Shih-Chia Huang is a leading researcher in intelligent robotics and healthcare automation, with a primary focus on developing predictive service models for assistive technologies. His most cited work, "Fidan: a predictive service demand model for assisting nursing home health-care robots" (2023, 6 citations), addresses the critical challenge of integrating robots into elderly care environments strained by population aging and nursing staff shortages. Unlike conventional robots that perform only pre-programmed tasks, Dr. Huang’s model enables robots to anticipate and adapt to real-time service demands, significantly enhancing their utility in dynamic nursing home settings. This contribution bridges the gap between static robotic assistance and the fluid, unpredictable needs of healthcare facilities. Dr. Huang’s research is particularly impactful for its potential to reduce caregiver burden while improving patient outcomes, positioning him as a key innovator in human-robot interaction for geriatric care. His work continues to shape the next generation of intelligent, responsive healthcare robots, offering scalable solutions to global aging challenges.