Kwanho You
Papers
1
Total Citations
4
H-Index
1
About
Kwanho You is a leading researcher in multi-robot systems and cooperative localization, with a focus on advancing the capabilities of autonomous robotic teams. His major contributions center on developing robust algorithms for relative localization in multi-robot networks, particularly through iterative error-state Kalman filtering (IEKF) approaches. His most cited work, "Iterative Solution of Relative Localization for Cooperative Multi-robot Using IEKF" (2017, 4 citations), addresses critical challenges in enabling multiple robots to accurately determine each other's positions without relying on external infrastructure—a fundamental requirement for scalable, decentralized robotic cooperation. This work has practical implications for industries ranging from warehouse automation to search-and-rescue operations, where multi-robot systems offer significant advantages over single-robot platforms by distributing tasks and increasing operational flexibility. You's research bridges theoretical estimation methods with real-world implementation, helping to overcome limitations in robot size and functionality. His contributions are particularly valuable for students and researchers exploring cooperative robotics, as they provide foundational techniques for improving the reliability and efficiency of multi-robot teams in dynamic, GPS-denied environments.
Research Focus
Key Achievements
Top Papers
- 1