Seung-Yeol Wang

Papers

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About

Seung-Yeol Wang is a researcher specializing in autonomous navigation and mobile robotics, with a particular focus on challenging maritime environments. His work addresses the critical problem of enabling robots to operate safely and effectively on moving, unpredictable surfaces such as ship decks. Wang’s most notable contribution, "A Study on Image-Based Mobile Robot Driving on Ship Deck" (2022), introduces a vision-driven approach that allows robots to maintain stability and trajectory despite the constant motion and limited space of a vessel. This research, which has garnered early attention with 2 citations, lays foundational groundwork for automating inspection, cargo handling, and maintenance tasks in the shipping industry—a sector where human safety and efficiency are paramount. By integrating real-time image processing with robust control algorithms, Wang’s work bridges the gap between terrestrial robotics and the unique demands of marine applications. His findings not only advance the field of autonomous systems but also promise to reduce human risk in hazardous sea conditions, marking him as an emerging voice in the intersection of computer vision and maritime robotics.