Papers
1
Total Citations
2
H-Index
1
About
Rini Sharma is a researcher specializing in computer vision and mobile robotics, with a particular focus on 3D scene reconstruction from visual data. Her work addresses the critical challenge of enabling autonomous systems to perceive and navigate complex environments through vision-based information. Sharma’s most-cited paper, “3D Scene Reconstruction of Vision Information for Mobile Robot Applications” (2020), introduces methods for extracting spatial geometry from 2D imagery, facilitating real-time mapping and obstacle avoidance in mobile robots. This contribution, though early in her career, has garnered attention for its practical implications in robotics and autonomous navigation. With a citation count of 2, her research is positioned to grow as the field advances toward more robust, vision-driven robotic systems. Sharma’s work bridges the gap between theoretical computer vision algorithms and applied robotics, offering a foundation for future innovations in autonomous exploration, warehouse logistics, and assistive technologies. Her dedication to integrating visual perception with robotic mobility marks her as an emerging voice in the intersection of AI and robotics.
Research Focus
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Top Papers
- 1