Papers
17
Total Citations
352
H-Index
11
About
Ig Mo Koo is a robotics researcher whose work spans two interconnected frontiers: legged locomotion systems and wall-climbing robotics. His most significant contributions lie in advancing the intelligence and adaptability of quadruped walking robots, where he has explored biologically inspired control strategies, central pattern generator-based reflexive control, and sophisticated gait planning algorithms that enable robots to traverse complex, uneven terrains. His 2014 paper on recurrent neural network-driven reflexive control (34 citations) and his foundational 2007 work on biomimetic locomotion highlight his commitment to drawing from nature to solve real-world engineering challenges. Equally notable is Koo's pioneering research in wall-climbing robotics. His development of impeller-type adhesion mechanisms — enabling robots to scale non-smooth vertical surfaces for structural inspection — has garnered considerable attention, with his 2013 system paper accumulating 72 citations, his most impactful work to date. Early contributions in dielectric elastomer actuators (2006) further demonstrate his breadth, reflecting an interest in novel artificial muscle technologies that underpin next-generation robotic systems. Across more than a decade of research, Koo has built a cohesive body of work that meaningfully advances autonomous robot mobility in challenging real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Development of wall climbing robotic system for inspection purpose30 citations · 2008
- 6Biologically inspired gait transition control for a quadruped walking robot22 citations · 2015
- 7
- 8
- 9
- 10Control of a quadruped walking robot based on biologically inspired approach16 citations · 2007