Kab Il Kim
Papers
3
Total Citations
22
H-Index
2
About
Kab Il Kim is a distinguished robotics researcher whose work centers on locomotion strategies for legged robots, particularly quadruped and humanoid systems operating in challenging, unstructured environments. His most influential contribution is the development of simple, robust walking algorithms for the hydraulically driven quadruped robot **Jinpoong**, designed for post-disaster surveillance, reconnaissance, and transportation tasks. This work, published in 2016 and garnering **16 citations**, addresses the critical challenge of stable locomotion over uneven terrain, laying practical groundwork for field-deployable rescue robots. Kim has also advanced humanoid robotics by proposing a **modifiable walking pattern generation algorithm** (2014, 4 citations) that independently adjusts step period, length, and direction, enabling robots to handle complex, infeasible navigational commands. Earlier in his career, he explored cooperative manipulation strategies for dual-arm robots handling unknown loads (1999). Through these contributions, Kim has directly addressed real-world deployment hurdles—from terrain adaptability to command flexibility—making his work foundational for researchers developing autonomous legged systems for hazardous environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Two strategies for handling unknown loads of two coordinating robots2 citations · 1999