Byong-Woo Gam

Papers

1

Total Citations

5

H-Index

1

About

Byong-Woo Gam is a researcher advancing autonomous navigation systems, with a primary focus on precision agriculture and mobile robotics. His work addresses critical challenges in GPS-based localization for autonomous vehicles operating in complex, unstructured environments such as orchards. His most-cited paper, "GPS Error Filtering using Continuity of Path for Autonomous Mobile Robot in Orchard Environment" (2024), introduces a novel method to mitigate GPS signal degradation by leveraging path continuity, enabling reliable robot navigation under canopy cover. This contribution is vital for the deployment of autonomous agricultural robots, improving efficiency in tasks like harvesting and monitoring. Though early in his career, Gam’s research has already garnered attention, with his top paper accumulating 5 citations, signaling growing interest in his approach. His work bridges the gap between theoretical robotics and practical field applications, offering solutions that enhance the robustness of GPS-based systems in real-world settings. Gam’s contributions are particularly notable for their potential to reduce reliance on expensive sensor suites, making autonomous farming more accessible. As the field of agricultural robotics expands, his innovations in error filtering and path continuity are poised to influence future developments in autonomous navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
GPS Error Filtering using Continuity of Path for Autonomous Mobile Robot in Orchard Environment
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago