Aarrushi Shandilya
Papers
1
Total Citations
7
H-Index
1
About
Aarrushi Shandilya is a researcher at the forefront of computer vision and robotics, specializing in 6DoF (six degrees of freedom) pose estimation for industrial applications. Her work addresses a critical gap: while pose estimation has advanced significantly in academic settings, it has yet to achieve the reliability and accuracy required for mass deployment in industrial robotics. Shandilya’s major contribution is the creation of the Industrial Plenoptic Dataset (IPD), the first dataset designed for the co-evaluation of cameras, high dynamic range (HDR) imaging, and algorithms. This pioneering resource enables systematic benchmarking, bridging the divide between laboratory research and real-world manufacturing. Her most-cited paper, “Towards Co-Evaluation of Cameras, HDR, and Algorithms for Industrial-Grade 6DoF Pose Estimation” (2024), has already garnered 7 citations, reflecting its timely impact on the field. By providing a standardized testbed, Shandilya’s work empowers engineers and researchers to develop more robust, industrial-grade vision systems. Her research is instrumental in pushing pose estimation from theory into practical, high-stakes environments, marking her as a rising innovator in applied computer vision.
Research Focus
Key Achievements
Top Papers
- 1