Papers
17
Total Citations
562
H-Index
10
About
Yun Seong Song is a robotics and biomechanics researcher whose work spans bio-inspired robotics, soft robotics, and physical human-robot interaction. He first gained significant recognition through his pioneering research on water strider-inspired robots, demonstrating how surface tension forces — rather than buoyancy — can support miniature robotic systems on water. His 2007 paper on surface-tension-driven water strider robots has accumulated over 200 citations, establishing him as a leading voice in biomimetic locomotion. Alongside this work, Song developed numerical models for supporting leg design and advanced the field with STRIDE, a fully untethered, highly maneuverable water strider robot. Beyond bio-inspired systems, Song has made meaningful contributions to soft robotics, developing pneumatic actuators for rodent gait rehabilitation and ultra-thin sensor-embedded actuator skins. More recently, his research has shifted toward understanding physical human-robot interaction, investigating how humans modulate arm stiffness and exploit haptic communication to coordinate movement and maintain balance during collaborative tasks. His work with rodent exoskeletons further bridges neuroscience and assistive robotics. Across these diverse areas, Song's research consistently draws inspiration from biological systems to inform the design of smarter, more intuitive robots — making him a versatile and impactful contributor to modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Biologically Inspired Miniature Water Strider Robot68 citations · 2005
- 3Soft robot for gait rehabilitation of spinalized rodents54 citations · 2013
- 4
- 5STRIDE: A Highly Maneuverable and Non-Tethered Water Strider Robot51 citations · 2007
- 6Soft Pneumatic Actuator skin with embedded sensors18 citations · 2014
- 7
- 8
- 9
- 10Sensing small interaction forces through proprioception13 citations · 2021