Min-Woo Kang
Papers
1
Total Citations
5
H-Index
1
About
Min-Woo Kang is a robotics researcher specializing in sensor fusion and autonomous navigation for mobile manipulators operating in complex indoor environments. His work focuses on integrating Lidar and RGB-D camera data to enhance environmental perception, particularly for door recognition—a critical capability for robots navigating high-rise buildings and dynamic spaces. Kang’s most cited paper, “Improvement of Door Recognition Algorithm using Lidar and RGB-D camera for Mobile Manipulator” (2022), addresses the challenge of enabling mobile manipulators to efficiently traverse structured yet unpredictable indoor settings by improving object detection accuracy. With 5 citations, this contribution underscores his impact on practical robotic mobility, bridging the gap between perception algorithms and real-world deployment. Kang’s research is pivotal for advancing autonomous systems in logistics, healthcare, and service robotics, where reliable door detection ensures seamless task execution. His work exemplifies how sensor integration can overcome environmental constraints, offering a foundation for future innovations in mobile manipulation and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1