Hung-Hui Hsieh

National Chin-Yi University of Technology

Papers

Total Citations

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About

Hung-Hui Hsieh is a robotics researcher whose work centers on assistive and autonomous mobile systems, particularly omni-directional robots designed for healthcare and rehabilitation environments. Hsieh’s major contributions lie in developing intelligent control and safety mechanisms for these robots, including a cerebellar model articulation controller (CMAC)-based fall detection algorithm for a 3-axis accelerometer. This innovation, detailed in their most-cited paper (8 citations), enables a smart omni-directional robot to follow elderly individuals or rehabilitation patients and detect falls, enhancing safety in home or hospital settings. Hsieh also advanced obstacle-avoidance control by integrating fuzzy theory and extension theory, as shown in a 2012 paper (6 citations), which fine-tunes motor PWM signals to correct path deviations and navigate around obstacles. These works demonstrate Hsieh’s focus on practical, real-world applications of robotics for vulnerable populations, combining sensor-based detection with adaptive control to create more responsive and reliable assistive devices. Their research bridges theoretical control methods with tangible robotic solutions, making a meaningful impact on autonomous systems for caregiving.