Kuo‐Shen Chen
Papers
17
Total Citations
140
H-Index
5
About
Kuo-Shen Chen is a leading researcher in indoor localization, smart building technologies, and mobile robotics, with a focus on integrating low-cost, off-the-shelf sensors for high-precision motion control. His pioneering work on Wiimote-based indoor localization systems has redefined how interactive spaces can be realized, enabling autonomous navigation and trajectory control for mobile robots and manipulators. Chen’s most cited paper, "IR indoor localization and wireless transmission for motion control in smart building applications based on Wiimote technology" (2010, 37 citations), demonstrates his ability to transform gaming hardware into robust sensing platforms for smart living environments. He has also advanced machine tool health monitoring through MEMS accelerometer integration (2021, 32 citations), bridging the gap between industrial vibration analysis and low-cost sensing. His contributions extend to hybrid navigation methods using mixed potential fields and force-sensing smart floor panels for indoor localization, showcasing his versatility in both hardware and algorithm development. With over 125 citations across his top works, Chen’s research has significantly influenced the fields of cyber-physical systems and human-centric automation, making him a key figure in the evolution of intelligent, adaptive indoor environments.
Research Focus
Key Achievements
Top Papers
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- 8A Wiimote 3D Localization Scheme without Channel Constraints5 citations · 2015
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