JeongYeol Park
Papers
1
Total Citations
4
H-Index
1
About
JeongYeol Park is a robotics researcher specializing in computer vision and autonomous manipulation for logistics and industrial applications. His work focuses on enabling robots to perceive and interact with objects in unstructured environments, with a particular emphasis on box segmentation and pose estimation. Park’s most cited paper, “Box segmentation, position and size estimation for robotic box handling applications” (2022), presents a vision system that uses color and depth data to reliably estimate the position and dimensions of boxes, a critical capability for automated warehouse and shipping operations. This contribution addresses the fundamental challenge of safe and successful robotic grasping in logistics, where accurate perception is essential. With 4 citations, this work has already garnered attention in the field of robotic manipulation. Park’s research bridges the gap between computer vision and practical robotics, offering solutions that enhance the efficiency and reliability of automated material handling. His achievements demonstrate a commitment to developing robust perception systems that can operate in real-world, dynamic environments, making his work valuable for both academic researchers and industry practitioners seeking to advance robotic automation.
Research Focus
Key Achievements
Top Papers
- 1