Jiseok Lee
Papers
10
Total Citations
115
H-Index
6
About
Jiseok Lee is a leading robotics researcher specializing in autonomous systems for building maintenance and industrial applications. His primary research areas include wall-climbing robots, façade cleaning automation, and human-robot interaction. Lee’s most notable contribution is the development of R-Track, a reconfigurable modular climbing robot designed for wall-to-wall transitions on metal surfaces, which has garnered 41 citations. He has also advanced window-cleaning robotics with compliant manipulators that adapt to uneven surfaces, and his gondola-mounted façade cleaning robot integrates sensing and manipulation for high-rise building maintenance. His work on adaptive cleaning mechanisms and contamination detection using convolutional neural networks demonstrates a commitment to combining mechanical design with AI-driven perception. With over 115 total citations across his top papers, Lee’s research directly addresses safety and efficiency challenges in hazardous building maintenance tasks. His achievements include designing wearable exoskeletons for industrial heavy lifting and developing robust image processing methods for transparent surface cleaning. Lee’s innovative modular and compliant robotic systems continue to influence the next generation of autonomous maintenance robots.
Research Focus
Key Achievements
Top Papers
- 1R-Track: Separable Modular Climbing Robot Design for Wall-to-Wall Transition41 citations · 2020
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- 6Wearable Robot Design for Industrial Application6 citations · 2012
- 7Robust Design of Detecting Contaminants in Façade Cleaning Applications3 citations · 2019
- 8Human-robot integrated model of upper-extremity3 citations · 2012
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