Sangmuk Lim
Papers
1
Total Citations
2
H-Index
1
About
Sangmuk Lim is a researcher advancing the frontier of autonomous vehicle navigation, particularly in environments where conventional GPS fails. His work focuses on robust localization and path planning for self-driving systems in challenging, unstructured settings such as orchards and dense urban canyons. Lim’s most-cited paper, “Orchard Navigation Algorithm for Self-Driving Vehicles Under Poor GPS Signal” (2025), introduces a novel algorithm that fuses sensor data with terrain-aware models to maintain reliable navigation even when satellite signals are weak or intermittent. This contribution addresses a critical bottleneck in agricultural automation and last-mile delivery, where GPS-denied zones are common. With 2 citations already in its early publication year, the work signals growing interest from both academia and industry. Lim’s research bridges the gap between theoretical control systems and practical deployment, offering scalable solutions for real-world autonomous mobility. His achievements highlight a commitment to solving high-impact problems at the intersection of robotics, sensor fusion, and field robotics, positioning him as an emerging voice in the next generation of self-driving technology.
Research Focus
Key Achievements
Top Papers
- 1