Sanghak Sung
Papers
2
Total Citations
11
H-Index
2
About
Sanghak Sung is a robotics researcher whose work focuses on the biomechanics and control of legged locomotion, particularly the challenging dynamics of landing and hopping. His key contributions lie in developing bio-inspired control strategies that enable articulated robots to mimic the safe, efficient landing motions observed in humans. In his most cited work, "Landing Motion Control of Articulated Legged Robot" (2007, 7 citations), Sung introduced a stiffness controller formulation that replicates the human crouching motion, characterized by variable body stiffness and damping, to absorb impact forces during landing. He extended this approach in "Landing Motion Control of Articulated Hopping Robot" (2007, 4 citations), applying similar principles to hopping robots to ensure stable, controlled touchdowns. By translating human neuromuscular strategies into robotic control algorithms, Sung’s research addresses a fundamental challenge in legged robotics: achieving robust, energy-efficient locomotion on uneven terrain. His work has provided a foundational framework for subsequent studies in dynamic legged locomotion and impact mitigation, making him a notable contributor to the field of bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
- 1Landing Motion Control of Articulated Legged Robot7 citations · 2007
- 2Landing Motion Control of Articulated Hopping Robot4 citations · 2007