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About

Dr. Jun Han Bae is a robotics researcher whose work spans multi-robot coordination, collective coverage control, and underwater sampling systems. His most influential contribution, "Multi-robot rendezvous based on bearing-aided hierarchical tracking of network topology" (2018, 36 citations), addresses the challenge of maintaining connectivity and coordination in distributed robot teams through innovative topological tracking. Dr. Bae also developed a pivot-based collective coverage control strategy that uses a divide-and-conquer approach to partition large, irregular workspaces—such as environmental spills—into manageable zones for efficient multi-robot coverage. In the domain of underwater robotics, he designed the Tri-SedimentBot (TSB), a novel sediment sampling robot featuring a dual-motion system with feedback control for precise sample collection. His evaluation of robotic sampling methods further advances autonomous environmental monitoring, reducing human risk and cost. With a portfolio that bridges theoretical network coordination and practical field robotics, Dr. Bae’s work demonstrates significant impact in both algorithmic development and real-world deployment, making him a notable contributor to autonomous systems research.