Dev Mehrotra
Papers
1
Total Citations
7
H-Index
1
About
Dev Mehrotra is a robotics researcher whose work lies at the intersection of sensor calibration, 3D geometry, and perception for autonomous systems. His key contributions center on enabling low-cost, low-power single-pixel distance sensors—often used for collision avoidance—to be precisely integrated into robotic platforms. In his most cited work, "Geometric Calibration of Single-Pixel Distance Sensors" (2022, 7 citations), Mehrotra tackles the critical challenge of determining a sensor’s exact position and orientation relative to its host robot. This calibration is essential for translating raw distance readings into accurate 3D scene geometry, a fundamental step for safe and reliable robot navigation. By developing methods that make these inexpensive sensors geometrically trustworthy, his research directly impacts the accessibility of robust perception in resource-constrained robotics. Mehrotra’s work is notable for bridging the gap between cost-effective hardware and the geometric rigor required for real-world deployment, offering practical solutions for students and engineers building the next generation of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Geometric Calibration of Single-Pixel Distance Sensors7 citations · 2022