Donggeun Cha
Papers
2
Total Citations
33
H-Index
2
About
Donggeun Cha is a robotics researcher focused on advancing autonomous navigation for mobile robots in complex, real-world environments. His work centers on two key challenges: reliable human-robot interaction and safe motion planning in confined spaces. Cha’s major contributions include developing a human-leg detection system for person-following robots using 2D LiDARs, which enables robust tracking in 3D feature space—a critical capability for service and assistive robotics. His 2020 paper on this topic has garnered 18 citations, reflecting its practical relevance. Additionally, Cha proposed the CDT-RRT* trajectory planner, designed specifically for car-like robots navigating narrow, cluttered settings. This approach integrates kinodynamic constraints with environmental geometry, achieving safe and efficient path planning; his 2021 publication has earned 15 citations. By addressing both perception and planning, Cha’s research bridges gaps in real-time robotic autonomy. His work is particularly notable for its focus on real-world applicability, from crowded indoor spaces to tight corridors, making him a rising contributor to the fields of mobile robotics and autonomous navigation.
Research Focus
Key Achievements
Top Papers
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- 2