Papers
2
Total Citations
45
H-Index
2
About
Seok Won Bang is a pioneering researcher in mobile robotics, with a primary focus on autonomous navigation and sensor-based perception. His most influential work, "Path Planning for Complete and Efficient Coverage Operation of Mobile Robots" (2007), has garnered 32 citations and addresses a critical challenge in robotics: enabling robots to systematically cover entire areas for tasks like de-mining, cleaning, and painting. This paper introduced a novel path planning method that balances completeness—ensuring every point is visited—with efficiency, minimizing redundant movement. Bang’s contributions extend to local homing algorithms, as detailed in his 2002 paper (13 citations), where he developed a sensor-based system using omnidirectional range and intensity data. By breaking complex navigation into simpler local tasks, he reduced computational demands and memory requirements, making indoor robot navigation more practical. His work on environment modeling with omnidirectional sensors has been foundational for robots operating in cluttered indoor spaces. Through these innovations, Bang has advanced the field of coverage path planning and sensor-driven navigation, providing tools that enhance the autonomy and reliability of mobile robots in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Path Planning for Complete and Efficient Coverage Operation of Mobile Robots32 citations · 2007
- 2