Sai Ramana Kiran Pinnama Raju

Worcester Polytechnic Institute

Papers

1

Total Citations

5

H-Index

1

About

Sai Ramana Kiran Pinnama Raju is a researcher at the forefront of efficient computer vision and tiny machine learning, specializing in enabling advanced perception on resource-constrained mobile robots. His work centers on developing ultra-low-power, high-speed algorithms for dense optical flow estimation, a critical capability for safe navigation and obstacle avoidance in miniature autonomous systems. His landmark paper, “EdgeFlowNet: 100FPS@1W Dense Optical Flow for Tiny Mobile Robots” (2024), has already garnered 5 citations, demonstrating its immediate impact on the field. In this work, he pioneered a novel architecture that achieves an unprecedented 100 frames per second while consuming only 1 watt of power, effectively solving the long-standing challenge of balancing computational accuracy with extreme energy and size constraints. By pushing the boundaries of what is possible on tiny embedded devices, Pinnama Raju’s contributions are paving the way for a new generation of agile, autonomous micro-drones and insect-scale robots capable of real-time environmental interaction. His research is essential reading for anyone working at the intersection of efficient deep learning, edge AI, and field robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
<i>EdgeFlowNet:</i> 100FPS@1W Dense Optical Flow for Tiny Mobile Robots
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Worcester Polytechnic Institute

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago