Seungbeom Baek
Papers
1
Total Citations
3
H-Index
1
About
Seungbeom Baek is a robotics researcher whose work focuses on autonomous navigation and perception for agricultural robots, with a particular emphasis on real-time path planning using solid-state LiDAR technology. His key contributions center on developing algorithms that enable robots to safely and efficiently traverse complex agricultural terrains, such as furrowed fields with steep ridges. In his most cited work, Baek proposed a novel real-time path planning algorithm based on ridge detection, leveraging the Livox Mid70 LiDAR to create accurate routes that prevent damage to farmland. This approach addresses the critical challenge of autonomous driving in environments where traditional GPS-based navigation may fail due to uneven terrain or crop rows. While his citation count is currently modest, his work represents an important step toward practical, low-cost automation in precision agriculture. Baek’s research bridges the gap between sensor technology and field robotics, offering solutions that could reduce labor costs and improve crop management efficiency. His contributions are particularly relevant for students and researchers interested in agricultural robotics, LiDAR-based perception, and real-time navigation systems.
Research Focus
Key Achievements
Top Papers
- 1