Kyung Shik Roh
Papers
7
Total Citations
102
H-Index
5
About
Kyung Shik Roh is a leading roboticist whose work bridges perception, locomotion, and medical robotics. His research focuses on enabling robots—from mobile platforms to humanoids—to navigate and interact with the world autonomously. A cornerstone of his contribution is in **global localization and SLAM**, where he pioneered a coarse-to-fine approach using 2-D range scans and support vector machines for place learning, a method that has garnered 33 citations for its robustness. He further advanced the field by developing an on-board 3D vision-based SLAM system for dynamic walking humanoids, tackling the unique challenges of human-like gait to achieve real-time, onboard estimation. Beyond navigation, Roh has made notable strides in **biologically inspired locomotion**, introducing neural oscillators to improve energy efficiency in bipedal walking. His work also extends to **surgical robotics**, where he contributed to the design of a single-port surgical robot system with flexible instruments, demonstrating the breadth of his impact. With over 100 total citations across his key works, Roh’s research continues to influence both industrial and medical robotics, making him a pivotal figure in the quest for truly autonomous, agile, and practical robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2On-board odometry estimation for 3D vision-based SLAM of humanoid robot22 citations · 2012
- 3Single-Port Surgical Robot System with Flexible Surgical Instruments16 citations · 2015
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- 7Biologically Inspired Energy Efficient Walking for Biped Robots4 citations · 2006