Papers
13
Total Citations
512
H-Index
11
About
Tae Myung Huh is a robotics researcher whose work sits at the intersection of bio-inspired robotics, tactile sensing, and adaptive robotic systems. His research has made significant contributions to how robots perceive and interact with their physical environments, spanning underwater locomotion, legged robots, and dexterous manipulation. Huh's early work explored compliant mechanisms for bio-inspired underwater robots, demonstrating that variable-stiffness fins could substantially enhance thrust performance — a study that has garnered 95 citations and remains a landmark contribution in underwater robotics. He subsequently turned his attention to tactile sensing for legged systems, developing miniature capacitive sensors and terrain classification algorithms using support vector machines, with related papers accumulating over 70 citations each. These innovations enabled small legged robots to dynamically adapt their gait based on ground contact feedback. More recently, Huh has advanced tactile sensing for robotic and prosthetic hands, introducing porous dielectric elastomer sensors, smart suction cups with haptic search capabilities, and resonant pneumatic sensing for soft grippers. His work on SpinyHand, a spine-equipped climbing robot, further demonstrates his range across unconventional robotic challenges. With over 480 total citations across a decade of research, Huh's contributions have meaningfully shaped the development of sensing and adaptive control in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Tactile Sensing and Terrain-Based Gait Control for Small Legged Robots74 citations · 2019
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- 5SpinyHand: Contact Load Sharing for a Human-Scale Climbing Robot49 citations · 2019
- 6
- 7Dynamically Reconfigurable Tactile Sensor for Robotic Manipulation40 citations · 2020
- 8
- 9Haptic Search With the Smart Suction Cup on Adversarial Objects19 citations · 2023
- 10Resonant Pneumatic Tactile Sensing for Soft Grippers16 citations · 2022