Sang-Gyum Kim
Papers
1
Total Citations
2
H-Index
1
About
Sang-Gyum Kim is a researcher whose work centers on autonomous navigation and path planning for unmanned ground vehicles (UGVs), with a particular focus on military robotics applications. His most cited paper, "Developments of a Path Planning Algorithm and Simulator for Unmanned Ground Vehicle" (2007), addresses the critical challenge of enabling robots to navigate rough terrain from an initial to a goal configuration while avoiding obstacles. In this work, Kim developed a local path planning algorithm that identifies optimal routes using a world model, contributing foundational methods for autonomous movement in complex environments. Although his citation count of 2 reflects a niche but specialized impact, his research holds significance for defense and robotics communities seeking robust navigation solutions. Kim's contributions underscore the importance of algorithmic efficiency and simulation in advancing UGV autonomy, offering insights for students and researchers exploring path planning, obstacle avoidance, and real-world deployment of autonomous systems in unstructured terrains.
Research Focus
Key Achievements
Top Papers
- 1