Papers
10
Total Citations
98
H-Index
7
About
Yeong Che Fai is a leading researcher in robotics and rehabilitation engineering, with key contributions spanning mobile robot navigation, sensor fusion, and assistive technologies. His pioneering work on Bluetooth-enabled mobile robots (2003, 24 citations) laid the foundation for wireless robotic control, enabling autonomous movement through server-based algorithms. He has made significant advances in simultaneous localization and mapping (SLAM), with a highly cited survey (2015, 20 citations) reviewing filtering techniques for state estimation in mobile robots. Fai’s research also addresses practical industrial applications, such as developing machine vision and robotic arm systems for edible bird nest processing (2015, 13 citations), supporting Malaysia’s food production sector. Notably, he has driven innovation in stroke rehabilitation, creating reconfigurable robots for upper limb training (2015, 9 citations) and interactive assessment tools like iRest (2015, 8 citations). His work on kinematic variables for rehabilitation robots (2020, 8 citations) bridges robotic assessment with clinical scales, enhancing quantitative motor impairment evaluation. Fai’s research on human-aware navigation, including neural-network based adaptive proxemics-costmaps (2019), advances safe human-robot interaction. With over 100 citations across his portfolio, his work continues to impact robotics, healthcare, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1Bluetooth enabled mobile robot24 citations · 2003
- 2Simultaneous localization and mapping survey based on filtering techniques20 citations · 2015
- 3Edible Bird Nest Processing using Machine Vision and Robotic Arm13 citations · 2015
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- 7iRest: Interactive rehabilitation and assessment tool8 citations · 2015
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