Papers
20
Total Citations
370
H-Index
9
About
Madan Mohan Rayguru is a robotics and control systems researcher whose work sits at the intersection of autonomous mobile robots, deep learning, and advanced control theory. He has made significant contributions to the development of self-reconfigurable cleaning and inspection robots, addressing real-world challenges in sanitation, infrastructure maintenance, and pandemic response. His most cited work, "A Human Support Robot for the Cleaning and Maintenance of Door Handles Using a Deep-Learning Framework" (2020, 78 citations), demonstrated how AI-driven robotics could be deployed for hygiene-critical tasks during COVID-19, establishing him as a key voice in health-oriented robotics. Rayguru's research on pavement inspection robots (52 citations) and autonomous floor-cleaning systems (46 citations) further showcases his ability to translate complex control architectures into practical robotic platforms. His theoretical contributions include robust output feedback controllers under actuator saturation, switched adaptive control for morphology-changing robots, and time-delay estimation strategies for hybrid impedance control. With over 320 cumulative citations across his published work, Rayguru has built a compelling research portfolio that bridges rigorous nonlinear control theory with socially impactful robotic applications, making him an influential figure in service and field robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Deep Learning Based Pavement Inspection Using Self-Reconfigurable Robot52 citations · 2021
- 3
- 4Autonomous Self-Reconfigurable Floor Cleaning Robot46 citations · 2020
- 5
- 6
- 7
- 8An Optimal Footprint Based Coverage Planning for Hydro Blasting Robots10 citations · 2021
- 9
- 10