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About

Jaho Seo is a robotics researcher whose work focuses on perception, control, and multi-agent coordination for autonomous systems operating in challenging, unstructured environments. His most impactful contribution is the design of a dust-filtering algorithm for LiDAR sensors, which uses intensity and range information to remove noise caused by airborne particles in off-road settings—a critical advancement for ensuring reliable perception in construction, mining, and agricultural robotics. This work, published in 2022, has already garnered 26 citations, highlighting its practical significance. Seo has also developed integrative tracking control strategies for robotic excavation, addressing the complex dynamics of heavy machinery, and has proposed an adaptive multi-robot exploration framework using edge-weighted path planning for unknown environments, a scalable solution for search-and-rescue and planetary missions. His research bridges the gap between robust sensor processing and intelligent control, directly enhancing the autonomy and safety of field robots. With a clear trajectory toward real-world deployment, Seo’s work is increasingly cited by engineers tackling perception and coordination problems in harsh, dynamic settings.