Suresh Sundarajoo

Papers

Total Citations

H-Index

About

Suresh Sundarajoo is a robotics and computer vision researcher whose work focuses on improving autonomous systems through advanced color-based object detection and tracking. His most cited paper, "Improvement of Auto-Tracking Mobile Robot based on HSI Color Model" (2018, 9 citations), addresses a critical challenge in robotics: accurately identifying and tracking moving targets under varying illumination conditions. By leveraging the HSI (Hue, Saturation, Intensity) color model, Sundarajoo developed methods that enhance the robustness of auto-tracking mobile robots, making them more reliable in real-world environments where lighting changes unpredictably. This contribution is particularly valuable for applications in surveillance, autonomous navigation, and human-robot interaction. While his citation count reflects a focused, early-career impact, Sundarajoo's work demonstrates a practical engineering approach to solving fundamental perception problems in robotics. His research underscores the importance of color-based vision systems in enabling machines to interact intelligently with dynamic surroundings, laying groundwork for more adaptive and accurate tracking technologies.