Kasemsit Teeyapan
Papers
2
Total Citations
63
H-Index
2
About
Kasemsit Teeyapan is a roboticist whose research lies at the intersection of motion planning, dynamic stability, and control optimization for legged and wheeled humanoid systems. His most influential work, "Robot limbo: Optimized planning and control for dynamically stable robots under vertical obstacles" (2010, 33 citations), introduces a novel control framework that enables dynamically stable robots to navigate low-clearance environments by mimicking a limbo dance—a creative solution to a fundamental challenge in mobile manipulation. Building on this, his 2009 study on "Optimized control strategies for wheeled humanoids and mobile manipulators" (30 citations) demonstrates how optimizing target pose, height, and control parameters yields emergent behaviors that enhance efficiency, stability, and effectiveness in articulated mobile robots. Together, these contributions have shaped how researchers approach obstacle-aware locomotion and control for humanoid and mobile manipulator platforms. Teeyapan’s work is particularly notable for bridging theoretical control optimization with practical, bio-inspired behaviors, offering a foundation for future advances in agile, dynamically stable robots operating in cluttered environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimized control strategies for wheeled humanoids and mobile manipulators30 citations · 2009