Kisung Seo
Papers
12
Total Citations
80
H-Index
4
About
Kisung Seo is a robotics and intelligent systems researcher whose work spans adaptive control, evolutionary computation, and autonomous robot locomotion. His most influential contribution, a 2007 paper on direct adaptive fuzzy control for nonlinear systems with applications to robot manipulator tracking (29 citations), established his expertise at the intersection of intelligent control theory and practical robotics. Building on this foundation, Seo has made significant strides in automatic gait generation for legged robots, pioneering the application of genetic programming (GP) to quadruped locomotion — an approach that addresses the notoriously complex, high-dimensional parameter optimization challenges inherent in legged robot motion planning. His 2010 work on GP-based gait generation in joint space (15 citations) and related comparative studies demonstrate a sustained effort to advance beyond traditional genetic algorithm methods. Seo has also explored biologically inspired control architectures, employing Central Pattern Generators (CPG) to dynamically produce adaptive walking trajectories for humanoid robots, including the NAO platform. Additional contributions include HyperNEAT-based locomotion control and an improved FastSLAM algorithm leveraging fitness-sharing techniques. Collectively, his research reflects a coherent vision of making autonomous robots more adaptable, efficient, and capable of navigating real-world environments.
Research Focus
Key Achievements
Top Papers
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- 3Genetic programming based automatic gait generation for quadruped robots11 citations · 2008
- 4Generation of Walking Trajectory of Humanoid Robot using CPG6 citations · 2013
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- 8Locomotion Control of 4 Legged Robot Using HyperNEAT2 citations · 2011
- 9An Improved FastSLAM Algorithm using Fitness Sharing Technique2 citations · 2012
- 10CPG-based Adaptive Walking for Humanoid Robots Combining Feedback2 citations · 2014