Jinsang Rho
Papers
1
Total Citations
6
H-Index
1
About
Jinsang Rho is a researcher whose work sits at the intersection of robotics, audio signal processing, and human-robot interaction. His primary research focus is on enabling robots to perceive and understand their environments through sound, a field critical for making autonomous systems more aware and responsive. Rho’s most notable contribution addresses a fundamental challenge in this area: the problem of ego-noise—the disruptive sound a robot’s own motors generate. In his highly cited 2014 paper, "Acoustic feature extraction for robust event recognition on cleaning robot platform," he proposed novel feature extraction methods that allow a cleaning robot to filter out its own operational noise, thereby achieving robust auditory scene analysis. This work is pivotal for expanding a robot’s utility beyond simple cleaning, enabling it to function as a security or surveillance agent by recognizing acoustic events like breaking glass or human footsteps. With 6 citations, this paper has provided a foundational technique for researchers tackling noise-robust machine listening. Rho’s contributions are essential for advancing the development of more perceptive, context-aware robots that can operate reliably in real-world, noisy environments.
Research Focus
Key Achievements
Top Papers
- 1