Papers

21

Total Citations

249

H-Index

10

About

Hak Yi is a robotics researcher whose work spans mobile robotics, human-robot interaction, bio-inspired design, and intelligent control systems. With a career bridging foundational robotics theory and cutting-edge industrial applications, Yi has made notable contributions across multiple domains. His early work on biologically inspired humanoid robot design and brain limbic system-based control strategies demonstrated a commitment to drawing from nature to solve complex engineering challenges. His development of fuzzy analytic hierarchy process-based path planning for mobile robots — now cited 39 times — established an influential framework for multi-objective robotic decision-making. Yi's practical engineering impact is equally significant: his team's participation in the prestigious DARPA Robotics Challenge Finals in 2015 highlighted his expertise in disaster-response robotics under real-world constraints. More recently, his research has expanded into industrial exoskeleton integration with digital twin technology and large-diameter in-pipe inspection robots, reflecting a strong focus on applied robotic systems. His educational robotics platform work further demonstrates a commitment to training the next generation of engineers. Collectively accumulating over 200 citations, Yi's portfolio represents a dynamic intersection of intelligent control, biomimetics, and practical robotic system development.

Research Focus

Key Achievements

10
H-Index
21
Papers
249
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy Analytic Hierarchy Process-Based Mobile Robot Path Planning
39 citations · 2020
📈 Most Prolific Year: 2015 (6 Papers)
🤝 Key Collaborators: 58
🏛 Institutions: Kyungpook National University, University of California, Los Angeles, UCLA Health, Texas A&M University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago