Papers
8
Total Citations
419
H-Index
7
About
Hoe Joon Kim is a pioneering researcher at the intersection of energy harvesting, soft robotics, and advanced sensing technologies. His work centers on triboelectric nanogenerators (TENGs), smart materials, and self-powered systems, with a growing focus on integrating artificial intelligence into next-generation robotic platforms. Kim's most influential contributions include groundbreaking explorations of TENGs as autonomous power sources for robotic systems, eliminating dependence on external power supplies — a concept that has garnered over 100 citations since its 2023 publication. His innovative incorporation of metal-organic frameworks, particularly ZIF-67, into additively manufactured TENGs for self-powered object recognition represents a creative convergence of materials chemistry and robotics. Complementing this, his AI-driven approach to energy harvesting systems (99 citations) demonstrates a forward-thinking methodology bridging machine intelligence with sustainable power solutions. Beyond energy harvesting, Kim has made notable strides in flexible pressure sensing, stimuli-responsive soft robotics, and multifunctional wearable sensors using 2D MoS₂ fibers. With a cumulative citation count exceeding 400 across his most prominent works, Kim's research is shaping the future of autonomous, sustainable, and bioinspired robotic systems — making his profile essential reading for anyone working in smart materials or next-generation robotics.
Research Focus
Key Achievements
Top Papers
- 1Revolutionizing self-powered robotic systems with triboelectric nanogenerators106 citations · 2023
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- 5Stimuli-responsive polymer-based bioinspired soft robots28 citations · 2023
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