Rohan Rao
Papers
1
Total Citations
15
H-Index
1
About
Rohan Rao is a researcher at the forefront of computer vision and robotics, specializing in 3D human reconstruction and autonomous aerial systems. His work addresses the formidable challenge of capturing dynamic human motion in unstructured, outdoor environments—a critical capability for fields ranging from sports analytics to medicine and entertainment. Rao’s most cited paper, “3D Human Reconstruction in the Wild with Collaborative Aerial Cameras” (2021, 15 citations), introduces a novel framework that leverages multiple drones to collaboratively infer 3D human pose and shape without the constraints of traditional motion-capture studios. By tackling core issues such as occlusion, lighting variability, and real-time multi-view fusion, Rao has advanced the practical deployment of aerial motion-capture systems. His research not only pushes the boundaries of autonomous perception but also opens new possibilities for immersive media, remote healthcare monitoring, and athletic performance analysis. With a growing citation footprint, Rao is recognized for bridging the gap between theoretical computer vision and real-world, in-the-wild applications, making him a rising voice in the next generation of embodied AI research.
Research Focus
Key Achievements
Top Papers
- 13D Human Reconstruction in the Wild with Collaborative Aerial Cameras15 citations · 2021