Yi-Pin Kuo

Papers

Total Citations

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About

Yi-Pin Kuo is a researcher specializing in intelligent robotics and assistive technologies, with a focus on developing autonomous systems for healthcare and rehabilitation. His work centers on fall detection algorithms and mobile robot control, addressing critical challenges in elderly care and patient monitoring. Kuo's most cited paper, "The application of CMAC-based fall detection in Omni-directional mobile robot" (2013, 8 citations), introduces a cerebellar model articulation controller (CMAC)-based 3-axis accelerometer algorithm for real-time fall detection, integrated into a smart Omni-directional mobile robot designed to follow and assist elderly individuals or rehabilitation patients. This contribution demonstrates a novel fusion of neural network-inspired control and sensor technology for safety applications. In another notable work, "Following method for a car-like mobile robot using two IR sensors" (2014, 3 citations), Kuo implemented an embedded fuzzy controller with a look-up table for efficient, low-cost autonomous navigation. While his citation counts reflect a focused, early-career impact, his research bridges practical robotics and biomedical engineering, offering scalable solutions for assistive mobility. Kuo's work exemplifies how embedded systems and intelligent control can enhance quality of life, making him a promising contributor to the field of service robotics.