Liu Ji-yu
Papers
1
Total Citations
7
H-Index
1
About
Liu Ji-yu is a rising researcher in robotics and computer vision, with a focus on enabling robots to perceive and manipulate transparent objects—a notoriously challenging problem due to their reflective and refractive properties. His key research areas include 3D perception, surface normal estimation, and robotic manipulation of optically complex materials. His most notable contribution is the introduction of **RFTrans**, a novel framework that leverages refractive flow to accurately estimate surface normals of transparent objects, overcoming the limitations of conventional depth sensors. This work, published in 2024, has already garnered 7 citations, signaling its early impact in the field. By addressing a critical gap in robotic interaction with everyday transparent items—such as glassware and plastics—Liu’s research has practical implications for household robotics, manufacturing, and autonomous systems. His work stands out for its creative use of physical priors (refraction) to solve a long-standing perception challenge, making him a promising voice in the intersection of optics and robotics. As his citation count grows, Liu Ji-yu is poised to become a key contributor to next-generation robotic manipulation systems.
Research Focus
Key Achievements
Top Papers
- 1