Ashutosh Sharma
Papers
1
Total Citations
15
H-Index
1
About
Ashutosh Sharma is a leading researcher at the intersection of robotics, computer vision, and infrastructure monitoring. His work focuses on developing intelligent systems that automate the inspection and maintenance of critical civil infrastructure. Sharma’s most notable contribution is the ROAD system (Robotics-Assisted Onsite Data Collection and Deep Learning Enabled Robotic Vision System), which integrates mobile robotics with advanced deep learning to autonomously detect cracks on diverse surfaces like roads and bridges. This pioneering approach addresses a pressing need for safer, more efficient infrastructure assessment, moving beyond manual inspection to real-time, data-driven diagnostics. With his highly cited 2023 paper already garnering 15 citations, Sharma’s work is rapidly shaping the field of automated structural health monitoring. His research promises to enhance road safety, reduce maintenance costs, and improve the driving experience for all users by enabling proactive, precise identification of surface defects. Sharma’s vision is a future where robots and AI work seamlessly to keep our built environment safe and resilient.
Research Focus
Key Achievements
Top Papers
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