Sang Yep Nam

About

Sang Yep Nam is a robotics researcher specializing in autonomous navigation and simultaneous localization and mapping (SLAM) for mobile robots in indoor environments. His work focuses on developing cost-effective, robust solutions for service and guide robots operating in real-world, non-static settings. Nam's most influential contribution is his 2007 paper on using invisible two-dimensional barcodes on floors for robot localization, which offers significant advantages in cost and aesthetic integration over traditional natural or artificial landmarks (22 citations). He further advanced the field with his 2011 work on robust RBPF-SLAM using sonar sensors, addressing the critical challenge of mapping in dynamic environments where furniture or people move (15 citations). His research also includes constructing generalized Voronoi graphs (GVG) from partial range data for reliable guide robot navigation, and direction-augmented probabilistic scan matching to improve localization accuracy. Through these contributions, Nam has established himself as a key figure in practical, deployable indoor mobile robot navigation systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Mobile Robot Exploration in Indoor Environment Using Topological Structure with Invisible Barcodes

   22 citations · 2007
2. 2
   Robust RBPF-SLAM for Indoor Mobile Robots Using Sonar Sensors in Non-Static Environments

   15 citations · 2011
3. 3
   The robust construction of a generalized Voronoi graph (GVG) using partial range data for guide robots

   4 citations · 2008
4. 4
   Direction augmented probabilistic scan matching

   2 citations · 2012

Key Collaborators

Contact & Links