Papers
12
Total Citations
481
H-Index
8
About
Sukho Song is a leading researcher in soft robotics, bioinspired adhesion, and adaptive gripping systems, with a focus on creating versatile, reconfigurable robotic components. His most influential work introduced the use of gallium’s solid–liquid phase transition to achieve highly reversible and switchable adhesion (111 citations), enabling robust gripping on diverse surfaces under dry and wet conditions. He further advanced soft robotic manipulation with the GeckoGripper (58 citations), a soft, inflatable gripper using gecko-inspired micro-fiber adhesives for delicate pick-and-place tasks, and an adaptive self-sealing suction gripper (82 citations) that overcomes sealing challenges on irregular surfaces. Song has also pioneered soft electromagnetic artificial muscles (57 citations) and CMOS-inspired fluidic circuits (43 citations) for electronics-free control of soft robots. His work extends to biomedical applications, including a soft robotic actuator for electrocorticography systems (75 citations), and underwater morphing wings for unmanned vehicles. With over 500 total citations, Song’s innovations in switchable adhesion, soft actuation, and adaptive gripping are shaping the next generation of compliant, multifunctional robots.
Research Focus
Key Achievements
Top Papers
- 1Phase Change of Gallium Enables Highly Reversible and Switchable Adhesion111 citations · 2016
- 2Adaptive Self‐Sealing Suction‐Based Soft Robotic Gripper82 citations · 2021
- 3Deployment of an electrocorticography system with a soft robotic actuator75 citations · 2023
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- 6CMOS‐Inspired Complementary Fluidic Circuits for Soft Robots43 citations · 2021
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- 9A Soft Robotic Morphing Wing for Unmanned Underwater Vehicles6 citations · 2024
- 10A Soft Robotic Morphing Wing for Unmanned Underwater Vehicles6 citations · 2024