Minwook Jeong
Papers
1
Total Citations
11
H-Index
1
About
Minwook Jeong is a robotics researcher specializing in autonomous navigation, obstacle avoidance, and 3D environmental perception for mobile robots. His most cited work, "Autonomous Navigation System with Obstacle Avoidance using 2.5D Map Generated by Point Cloud" (2021, 11 citations), addresses a critical challenge in robotics: enabling safe driving in complex, crowded environments. Jeong’s key contribution lies in developing a robust navigation framework that transforms raw point cloud data into a 2.5D map, allowing robots to efficiently detect and avoid obstacles while maintaining real-time performance. This approach improves upon traditional 2D mapping by incorporating height information without the computational overhead of full 3D models, making it practical for deployment in dynamic settings like warehouses or public spaces. His work has been recognized for bridging the gap between sensor data processing and practical autonomous control, earning citations from researchers advancing field robotics and intelligent transportation systems. Jeong’s research continues to influence the development of safer, more adaptable autonomous systems, particularly for environments where static and dynamic obstacles coexist.
Research Focus
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Top Papers
- 1