Papers

3

Total Citations

33

H-Index

3

About

Madan Mohan Rayaguru is a robotics researcher whose work focuses on developing intelligent, reconfigurable systems for real-world maintenance and monitoring tasks. His primary research areas include autonomous cleaning robots, AI-enabled Internet of Robotic Things (IoRT) frameworks, and modular robotic design. Rayaguru’s most significant contribution is the **sTetro robot**, a deep learning-powered, reconfigurable platform specifically designed for staircase cleaning—a notoriously challenging environment for autonomous systems. This work, which has garnered **21 citations**, addresses a critical gap in commercial cleaning robots and demonstrates practical innovation in building maintenance. He has also advanced public health and infrastructure safety through an **AI-enabled IoRT framework for rodent activity monitoring** in false ceilings (9 citations), replacing dangerous manual inspections with automated detection. Additionally, his **design of a reconfigurable tiling robot** (3 citations) showcases his expertise in modular robotics. By combining deep learning, reconfigurable hardware, and IoT connectivity, Rayaguru’s research directly tackles labor-intensive and hazardous tasks, pushing the boundaries of what service robots can achieve in complex, human-centric environments.

Research Focus

Key Achievements

3
H-Index
3
Papers
33
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
sTetro-Deep Learning Powered Staircase Cleaning and Maintenance Reconfigurable Robot
21 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Delhi Technological University, Singapore University of Technology and Design

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago