Man-Seok Kim
Papers
3
Total Citations
20
H-Index
3
About
Man-Seok Kim is a robotics researcher specializing in bipedal locomotion, with a particular focus on trajectory generation for dynamic walking and stair navigation. His work addresses one of the most challenging problems in humanoid robotics: enabling bipedal robots to move safely and stably in complex, human-centric environments. Kim’s major contributions include the development of novel trajectory generation schemes using advanced optimization algorithms. He pioneered the application of the univariate dynamic encoding algorithm for searches (uDEAS) to generate smooth, stable trajectories for ascending and descending stairs—a critical capability for real-world deployment. His most cited work, "Trajectory generation schemes for bipedal ascending and descending stairs using uDEAS" (2010, 12 citations), demonstrates this approach. Earlier, he explored genetic algorithms for optimal stair walking (2009, 5 citations) and proposed a new scheme for direction turning during biped walking (2010, 3 citations), which introduced additional joints in the sagittal plane to maintain stability during turns. Though his citation counts are modest, Kim’s research contributes foundational methods for practical bipedal locomotion, bridging the gap between theoretical control and real-world robot mobility.
Research Focus
Key Achievements
Top Papers
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