GwanPil Kim
Papers
1
Total Citations
3
H-Index
1
About
GwanPil Kim is a researcher focused on advancing multi-robot systems and path planning, with a particular emphasis on scalability and completeness in complex environments. His work addresses the critical challenge of coordinating multiple autonomous robots efficiently, ensuring that pathfinding algorithms are both complete—guaranteeing a solution when one exists—and scalable to large teams. In his notable 2013 paper, "On completeness of scalable path planning for multiple robots using graph with cycles," Kim introduced a novel approach that leverages cyclic graphs to enhance the completeness of multi-robot path planning without sacrificing computational efficiency. This contribution has been cited 3 times, reflecting its foundational role in the field. Kim’s research is instrumental for applications in warehouse automation, search-and-rescue operations, and autonomous vehicle coordination, where reliable and scalable planning is paramount. His work stands out for bridging theoretical guarantees with practical scalability, offering a robust framework for future developments in multi-agent systems. For students and researchers exploring robotics, Kim’s insights provide a critical stepping stone toward understanding how to design algorithms that are both provably correct and deployable in real-world scenarios.
Research Focus
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Top Papers
- 1