Seokwon Bang
Papers
13
Total Citations
186
H-Index
8
About
Seokwon Bang is a robotics researcher whose work centers on mobile robot navigation, localization, and sensor integration, with particular focus on enabling autonomous robots to operate reliably in real-world indoor environments. His most influential contribution, "Application of Electronic Compass for Mobile Robot in an Indoor Environment" (2007, 45 citations), introduced a novel magnetometer-based approach to estimating absolute robot heading, addressing a persistent challenge in indoor navigation. Complementing this, his development of constrained Kalman filtering techniques fused gyroscope and odometry data to significantly improve localization accuracy — work that attracted a combined 47 citations across two publications. Bang also tackled the problem of wheel slippage on irregular terrain through a multiple-model approach to dead reckoning, demonstrating a consistent commitment to robust, practical solutions. Beyond navigation, his research extends to human-robot interaction, speech enhancement via circular microphone arrays for service robots, and software architecture design for home service platforms. His industry-connected work, including collaboration with Samsung Electronics on commercial robot vacuum navigation, underscores the real-world applicability of his research. Collectively, Bang's contributions form a cohesive body of work that has meaningfully advanced the field of intelligent mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1Application of Electronic Compass for Mobile Robot in an Indoor Environment45 citations · 2007
- 2Mobile robot localization with gyroscope and constrained Kalman filter32 citations · 2010
- 3
- 4Re-engineering software architecture of home service robots16 citations · 2005
- 5
- 6Constrained Kalman Filter for Mobile Robot Localization with Gyroscope15 citations · 2006
- 7
- 8Re-engineering software architecture of home service robots: a case study10 citations · 2005
- 9
- 10Virtual Door-Based Coverage Path Planning for Mobile Robot6 citations · 2009