Yen-Nien Wang
Papers
2
Total Citations
16
H-Index
2
About
Yen-Nien Wang is a researcher whose work sits at the intersection of robotics, artificial intelligence, and bio-inspired computing. His most notable contributions center on the development and application of artificial immune algorithms — computational systems modeled after the human immune system — to solve complex path planning challenges for mobile robots. His 2005 paper, "Artificial Immune Algorithm Based Obstacle Avoiding Path Planning of Mobile Robots," which has garnered 11 citations, established a foundational approach to enabling autonomous robots to navigate dynamically around obstacles with greater efficiency and adaptability. Building on this work, his 2007 follow-up study further refined these methodologies, demonstrating the sustained relevance and depth of his research trajectory in this specialized domain. Wang's research addresses a critical practical challenge in robotics: enabling machines to move safely and intelligently through real-world environments filled with unpredictable barriers. By drawing inspiration from biological immune responses, his algorithms offer robust, flexible alternatives to traditional path-planning techniques. His work continues to serve as a reference point for researchers exploring bio-inspired solutions in autonomous navigation and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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