Shashi Mehrotra
Papers
1
Total Citations
2
H-Index
1
About
Shashi Mehrotra is a researcher at the intersection of robotics, computer vision, and built-environment monitoring. Their work focuses on developing model-based recognition systems that enable robots to intelligently interpret and navigate complex construction and infrastructure settings. Mehrotra’s key contribution lies in bridging the gap between theoretical computer vision models and practical robotic applications, particularly for monitoring structural health and progress in built environments. Their most-cited paper, "Model-based recognition in robot vision for monitoring built environments" (2024), introduces a framework that allows robots to recognize and track objects using pre-defined 3D models, significantly improving accuracy in dynamic, cluttered construction sites. While still early in their career, with 2 citations to date, this work has already been recognized for its potential to automate safety inspections and quality control. Mehrotra’s research promises to reduce human error and labor costs in civil infrastructure management, positioning them as an emerging voice in the field of robotic perception for smart cities and automated construction.
Research Focus
Key Achievements
Top Papers
- 1