Papers
7
Total Citations
42
H-Index
5
About
Jewon Lee is a robotics researcher whose work centers on the localization, trajectory estimation, and control of mobile robots, particularly skid-steered platforms operating in challenging, unknown environments. His major contributions include the development of a Fuzzy Vector Field Orientation (FVFO) feedback control method, which uses flexible fuzzy logic to compensate for wheel slip in four-track wheel skid-steered mobile robots, significantly improving trajectory tracking accuracy. Lee also pioneered a novel hybrid optimization algorithm combining Particle Swarm Optimization (PSO) and Mesh Adaptive Direct Search (MADS) for more reliable trajectory estimation, overcoming the local optima pitfalls of traditional methods. His research extends to multi-cell localization systems, where he established an observability-based criterion for selecting anchor nodes to enhance coverage and accuracy. Additionally, Lee has advanced indoor localization using chirp spread spectrum ranging and RFID tag floor systems, offering robust alternatives to vision-based methods. With over 40 citations across his most-cited works, his innovations in slip compensation and localization are foundational for autonomous navigation in rough terrain, with direct applications in military and exploration robotics.
Research Focus
Key Achievements
Top Papers
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- 4Localization for a Mobile Node Based on Chrip Spread Spectrum Ranging5 citations · 2010
- 5An efficient localization method using RFID tag floor localization and dead reckoning5 citations · 2012
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