Papers
1
Total Citations
34
H-Index
1
About
Gi-Dong Sim is a researcher advancing the field of triboelectric nanogenerators (TENGs) and self-powered sensing systems, with a particular focus on flexible electronics and robotics. His most cited work, "Three-dimensional skin-type triboelectric nanogenerator for detection of two-axis robotic-arm collision" (2022, 34 citations), introduces a novel approach to creating soft, skin-like sensors that can detect multidirectional impacts in robotic systems. This contribution addresses critical challenges in human-robot interaction and safety, enabling real-time collision detection without external power sources. Sim’s research merges materials science, mechanical engineering, and energy harvesting, demonstrating how triboelectric effects can be harnessed for both energy generation and tactile sensing. His work has been recognized for its potential in wearable technology and intelligent automation, with citations reflecting growing interest in self-powered, flexible sensors. By developing three-dimensional architectures for TENGs, Sim has opened new pathways for integrating sensing capabilities into robotic skins, contributing to safer and more responsive autonomous systems.
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