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About

Jeong Hee Lee’s research focuses on autonomous navigation and safety control for mobile robots and underwater vehicles operating in complex, unstructured environments. Lee’s major contributions include developing algorithms that enable robots to autonomously cover unknown three-dimensional terrain while building accurate maps, as demonstrated in the highly cited work on 3-D terrain covering and map building for an Autonomous Underwater Vehicle (AUV). This work introduced an artificial island technique to improve efficiency, earning 25 citations and laying groundwork for underwater exploration. Lee also pioneered rollover-free navigation for mobile agents on uneven ground, combining a guided-navigation algorithm with a rollover-prevention algorithm to ensure stability over obstacles and slopes. Further innovations include collision and turnover avoidance using force reflection, and slip/turnover prevention on sloped terrain through a gyro/vision sensor module that estimates future terrain conditions to limit velocity. These contributions address critical safety and autonomy challenges in robotics, with applications ranging from search-and-rescue to planetary exploration. Lee’s work is essential reading for researchers interested in field robotics, terrain mapping, and vehicle stability control.