R Sangeeta

Papers

Total Citations

H-Index

About

R Sangeeta is a researcher specializing in robotics and autonomous navigation, with a particular focus on edge computing and computer vision for indoor environments. Her most cited work, "Corridor segmentation for automatic robot navigation in indoor environment using edge devices" (2020, 25 citations), introduces a novel approach to real-time corridor detection that enables robots to navigate efficiently using resource-constrained edge devices. This contribution addresses a critical challenge in mobile robotics—balancing computational efficiency with accurate environmental perception—by leveraging lightweight segmentation algorithms optimized for low-power hardware. Sangeeta's research has implications for service robots, warehouse automation, and assistive technologies, where reliable indoor navigation is essential. Her work demonstrates a practical integration of machine learning and embedded systems, making autonomous navigation more accessible and cost-effective. With a growing citation impact, Sangeeta continues to advance the field of intelligent robotics, bridging the gap between theoretical computer vision and real-world deployment. Her contributions are particularly valuable for students and engineers seeking to develop scalable, edge-based solutions for autonomous systems in constrained environments.