SeungHyeon Lim
Papers
1
Total Citations
5
H-Index
1
About
SeungHyeon Lim is a robotics researcher whose work centers on 3D perception, geometric computer vision, and robotic manipulation in cluttered environments. His major contribution is the development of Multi-Object RANSAC, a novel plane clustering method designed specifically for scenes with dense clutter, using RGB-D cameras. Unlike traditional approaches that target large-scale indoor structures, Lim’s algorithm excels at segmenting small, disjoint planar surfaces, enabling robust robot grasping in messy, real-world settings. This work, published in 2024, has already garnered 5 citations, signaling its early impact on the field of robotic perception. Lim’s research bridges the gap between theoretical geometry and practical robotics, with his method validated through successful grasping experiments. His focus on efficient, real-time plane clustering addresses a critical bottleneck in autonomous manipulation, making his contributions highly relevant for researchers working on service robots, warehouse automation, and assistive technologies. As his citation count grows, Lim is establishing himself as a rising voice in the intersection of computer vision and robotics.
Research Focus
Key Achievements
Top Papers
- 1Multi-Object RANSAC: Efficient Plane Clustering Method in a Clutter5 citations · 2024