Guan-Chun Luh
Papers
9
Total Citations
189
H-Index
7
About
Guan-Chun Luh is a robotics and intelligent systems researcher whose work spans two interconnected domains: biologically inspired autonomous navigation and human-machine interfaces for robotic control. He is perhaps best known for pioneering the application of artificial immune system (AIS) theory to mobile robot navigation, developing reactive immune network frameworks that enable robots to navigate dynamically in unknown environments with moving obstacles. This foundational body of work, accumulated across multiple influential publications between 2002 and 2008, has garnered over 100 citations collectively, with his 2006 immunological navigation paper alone earning 52 citations — a testament to its significance in the field. Luh also made notable contributions to intuitive robotic control, proposing muscle-gesture computer interface (MGCI) systems that leverage wearable MYO armbands and surface EMG signals combined with wavelet transform features and neural network classifiers to control robotic hands and omni-directional robots. These papers, published between 2015 and 2016, reflect a forward-thinking pivot toward accessible, wearable human-robot interaction. His work on immune network-based cooperative strategies for robot soccer further demonstrates a breadth of interest in multi-robot coordination. Across his career, Luh has consistently translated biological metaphors into practical robotic intelligence.
Research Focus
Key Achievements
Top Papers
- 1An immunological approach to mobile robot reactive navigation52 citations · 2006
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- 3Reactive Immune Network Based Mobile Robot Navigation28 citations · 2004
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- 7An Immunological Approach to Mobile Robot Navigation9 citations · 2008
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