Amik Rafly Azmi Ulya
Papers
1
Total Citations
2
H-Index
1
About
Amik Rafly Azmi Ulya is a researcher at the forefront of computer vision and robotics, with a focused expertise in pose estimation for humanoid systems. His most notable contribution is the creation of the "HiroPoseEstimation" dataset, a pioneering resource specifically designed for pose estimation in kid-size humanoid robots. This work addresses a critical gap in the field, enabling more accurate detection and tracking of body parts for applications ranging from health monitoring and sign language interpretation to advanced human-robot interaction. While his 2023 paper has garnered 2 citations, its significance lies in laying the groundwork for future research in robotic pose estimation. By bridging computer vision and robotics, Ulya’s work supports advancements in gesture control, sports analysis, and elderly activity monitoring. His research is instrumental in developing more responsive and intuitive humanoid robots, making him a promising voice in the intersection of AI and robotics.
Research Focus
Key Achievements
Top Papers
- 1