Heajung Min
Papers
1
Total Citations
14
H-Index
1
About
Heajung Min is a leading researcher in robotics perception and 3D environmental mapping, with a primary focus on developing efficient, real-time probabilistic volumetric mapping systems. Her most notable contribution, the "OctoMap-RT: Fast Probabilistic Volumetric Mapping Using Ray-Tracing GPUs" (2023), directly addresses a critical bottleneck in robotic navigation: the slow computation of occupancy probabilities in volumetric grids. By leveraging GPU-accelerated ray-tracing, Min’s work dramatically speeds up the mapping process, enabling robots to build accurate, real-world 3D models of their surroundings in real time. This breakthrough is essential for tasks requiring rapid environmental understanding, such as autonomous exploration and obstacle avoidance. With 14 citations and growing, OctoMap-RT has already garnered attention for its practical impact on the field. Min’s research bridges the gap between theoretical probabilistic mapping and deployable robotic systems, making her a key figure in advancing the reliability and speed of spatial perception for autonomous agents.
Research Focus
Key Achievements
Top Papers
- 1OctoMap-RT: Fast Probabilistic Volumetric Mapping Using Ray-Tracing GPUs14 citations · 2023