In-Seok Kim
Papers
2
Total Citations
40
H-Index
2
About
In-Seok Kim is a robotics researcher whose work centers on the dynamic locomotion and autonomous navigation of bipedal and humanoid robots. His primary contributions lie in developing optimization-based control strategies that enable stable, real-world mobility. Kim’s most influential work, “Stability Control for Dynamic Walking of Bipedal Robot with Real-time Capture Point Trajectory Optimization” (2019, 30 citations), introduces a method for maintaining balance during walking by continuously adjusting the robot’s capture point trajectory—a critical advancement for preventing falls in unpredictable environments. He further extends this expertise to navigation in “Optimization-based humanoid robot navigation using monocular camera within indoor environment” (2018, 10 citations), where he addresses the challenge of enabling robots to move autonomously through cluttered home and public spaces using only a single camera. This work is particularly significant for the growing field of personal service robotics, where safe and efficient indoor mobility is essential. Kim’s research bridges the gap between theoretical control and practical deployment, making him a notable contributor to the next generation of agile, real-world robots.
Research Focus
Key Achievements
Top Papers
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- 2