Iljin Nam

Papers

1

Total Citations

2

H-Index

1

About

Iljin Nam is a researcher focused on advancing autonomous navigation systems, particularly for delivery robots operating in complex urban environments. Their most cited work, "A Comparative Study on GPS Module and SLAM Module for Driving Stability of Waypoint-based Autonomous Delivery Robots" (2022, 2 citations), provides a critical analysis of two fundamental positioning technologies. Nam’s research identifies the limitations of GPS modules—which are vulnerable to interference from buildings and natural structures—and contrasts them with LiDAR-based SLAM (Simultaneous Localization and Mapping) modules, which offer improved accuracy in dense cityscapes. However, Nam also highlights that SLAM is not universally reliable, emphasizing the need to pinpoint its weaknesses and develop complementary solutions. This work contributes to the practical deployment of autonomous delivery robots by addressing real-world navigation challenges. While still early in their career, Nam’s research lays important groundwork for hybrid localization systems that combine the strengths of GPS and SLAM, aiming to enhance the driving stability and safety of waypoint-based autonomous robots. Their findings are valuable for engineers and researchers working on robust, environment-adaptive navigation technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Comparative Study on GPS Module and SLAM Module for Driving Stability of Waypoint-based Autonomous Delivery Robots
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago