Papers
10
Total Citations
132
H-Index
7
About
Jooyoung Hong is a leading researcher in the field of robotic building maintenance, specializing in the development of autonomous systems for high-rise façade cleaning—a domain where safety and automation are critical. His most impactful work includes the design and field-testing of an unmanned gondola-based cleaning robot on a real 000-building in Korea, a landmark achievement that demonstrated the viability of replacing human workers in dangerous cleaning tasks. With over 39 citations, this study underscores the market’s urgent need for robotic solutions. Hong’s contributions extend to compliant manipulators, parallel 2-DoF mechanisms, and adaptive cleaning modules that overcome step-shaped obstacles, collectively amassing over 130 citations. He has also innovated in soft robotics with a lip-inspired passive jamming gripper and developed Orthrus, a dual-arm quadrupedal robot for mobile manipulation. By integrating convolutional neural networks for contaminated façade identification, Hong bridges mechanical design with intelligent perception. His work not only advances industrial robotics but also sets new standards for safety and efficiency in building maintenance, making him a pivotal figure in the automation of hazardous environments.
Research Focus
Key Achievements
Top Papers
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- 3Parallel 2-DoF manipulator for wall-cleaning applications16 citations · 2019
- 4Optimal Parameter Design of a Cleaning Device for Vertical Glass Surfaces15 citations · 2019
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- 10Lip-Inspired Passive Jamming Gripper4 citations · 2022