Papers

4

Total Citations

35

H-Index

4

About

Shoyeb Ahammad Rafi is a robotics and intelligent systems researcher whose work sits at the dynamic intersection of autonomous robotics, image processing, and real-world problem-solving. His research consistently targets high-impact applications — from disaster response to healthcare and precision agriculture — demonstrating a commitment to deploying technology where it matters most. Among his most recognized contributions is his work on Robo-Res 1.0, a humanoid rescue robot leveraging advanced image processing algorithms to locate survivors in environments inaccessible to human responders, earning 12 citations. He has also pioneered the development of a fire-extinguishing quadcopter, addressing the deadly consequences of fire disasters through autonomous aerial intervention, garnering 10 citations. During the COVID-19 pandemic, Rafi extended his robotics expertise to healthcare, designing a cyclic task-based robotic assistant to automate medicine delivery for patients, reducing clinical exposure risks. His agricultural robotics work further showcases his versatility, with a crop-condition analyzer robot capable of detecting plant diseases through image processing feedback. With a growing citation record across multiple applied domains, Rafi represents an emerging voice in socially motivated robotics research.

Research Focus

Key Achievements

4
H-Index
4
Papers
35
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Image Processing Intelligence Analysis for Robo-Res 1.0: A Part of Humanoid Rescue-Robot
12 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: American International University-Bangladesh

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 0 days ago