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About

Shih-Min Hsieh is a robotics researcher whose work focuses on the control, navigation, and human-robot interaction of intelligent mobile systems. His primary research areas include adaptive control for nonholonomic robots, fuzzy logic-based navigation, and the development of assistive robotic assistants for elderly care. Hsieh’s most influential contribution is a trajectory tracking controller for self-balancing two-wheeled robots, which integrates backstepping sliding-mode control with fuzzy basis function networks to handle parameter variations—a paper that has garnered 18 citations. He also advanced human-robot interaction by designing an active mobile robotic assistant that operates within RFID-based intelligent spaces, enabling autonomous service delivery in cluttered indoor environments. His work on multi-sensory fuzzy hybrid navigation, which combines geometric and topological localization for robust self-localization, has received 6 citations. Additionally, Hsieh has explored FPGA-based implementations for unified motion control of nonholonomic robots, demonstrating a commitment to real-world, embedded system solutions. Through these contributions, Hsieh has helped bridge the gap between theoretical control design and practical assistive robotics, with his work cited in studies on elderly care, adaptive control, and mobile robot navigation.