Youngho Lee

About

Youngho Lee’s research centers on mobile robotics, focusing on autonomous navigation, formation control, and human-robot interaction. His most impactful work, “Virtual target tracking of mobile robot and its application to formation control” (2014, 17 citations), introduces a novel approach to coordinating multiple robots by using virtual targets, enabling stable and scalable formation maneuvers. Lee also developed the spatial cell diffusion (SCD) algorithm in his 2011 paper (15 citations), a search and coverage method that encodes environments using Gray codes to achieve complete robotic coverage efficiently—a key contribution to autonomous exploration and cleaning tasks. Beyond navigation, Lee explores frameworks for human-robot-environment interaction in “DigiLog Space” (2014, 3 citations), blending physical and digital realms to enhance communication. He also formalizes robot motion specification with Action Petri Nets (2014, 3 citations) and advances visual servoing for an 8-DOF arm on a mobile platform (2008, 3 citations), enabling precise object tracking and manipulation. Though his citation counts are modest, Lee’s work provides foundational algorithms and frameworks that bridge theoretical robotics with practical applications in autonomous systems and human-robot collaboration.

Research Focus

Key Achievements

Top Papers

1. 1
   Virtual target tracking of mobile robot and its application to formation control

   17 citations · 2014
2. 2
   A search and coverage algorithm for mobile robot

   15 citations · 2011
3. 3
   Framework for Interaction Among Human–Robot-Environment in DigiLog Space

   3 citations · 2014
4. 4
   Action Petri Net for Specifying Robot Motions

   3 citations · 2014
5. 5
   Visual servoing of 8-DOF arm for mobile robot platform

   3 citations · 2008

Key Collaborators

Contact & Links