Byeolteo Park

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Dr. Byeolteo Park is a robotics researcher whose work focuses on autonomous navigation and localization for unmanned systems. His primary research areas include path planning for unmanned surface vehicles (USVs) and sensor-based mobile robot relocation in indoor environments. Park’s most notable contribution is his work on curvature path planning, where he developed a high-resolution graph-based approach to generate smooth, feasible trajectories for USVs. This paper, published in 2013, has accumulated 27 citations, reflecting its influence on autonomous maritime navigation. In a separate line of inquiry, Park tackled the challenging problem of indoor robot relocation by exploiting ambient magnetic field anomalies and noisy radio range data. His 2013 paper on this method, which uses dual magnetometers and an active radio sensor, has garnered 4 citations and demonstrates his innovative use of environmental signals for localization without relying on GPS. Park’s work bridges practical navigation challenges with creative sensor fusion, offering valuable insights for researchers in field robotics and autonomous systems.