R. Sinduja
Papers
1
Total Citations
13
H-Index
1
About
R. Sinduja is a rising researcher in mobile robotics and autonomous navigation, with a focus on integrating sensor fusion for real-world robotic perception. Her most-cited work, "Realization of SLAM and Object Detection using Ultrasonic Sensor and RGB-HD Camera" (2022, 13 citations), addresses a critical challenge in Simultaneous Localization and Mapping (SLAM)—the difficulty of detecting multiple objects in dynamic environments. By combining ultrasonic sensors with high-definition RGB cameras, Sinduja proposes a cost-effective, robust framework that enhances a robot’s ability to map its surroundings while simultaneously identifying obstacles. This contribution is particularly valuable for applications in service robotics, warehouse automation, and assistive technologies, where reliable object detection is essential for safe navigation. Although her citation count is still growing, her work demonstrates a practical, systems-level approach to bridging the gap between low-cost sensors and high-performance SLAM algorithms. Sinduja’s research is paving the way for more accessible and resilient autonomous systems, making her a promising voice in the next generation of robotics engineers.
Research Focus
Key Achievements
Top Papers
- 1