T. Sugumari

Papers

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About

T. Sugumari is a researcher at the forefront of intelligent robotics, with a primary focus on autonomous navigation and agricultural automation. Her work bridges the gap between advanced perception systems and practical, real-world applications. Sugumari’s most influential contribution, "A Review of Perception-Based Navigation System for Autonomous Mobile Robots" (2022), has garnered 15 citations and provides a critical synthesis of how autonomous vehicles navigate complex environments—from hospitals and logistics to military and rescue operations. This foundational review has helped shape subsequent research in mobile robot autonomy. More recently, Sugumari has pioneered the application of these robotic systems in agriculture. Her 2024 paper, "Momordica charantia leaf disease detection and treatment using agricultural mobile robot" (6 citations), introduces an innovative method for automated plant health monitoring. By integrating image processing with mobile robotics, she addresses the labor-intensive challenge of manually identifying crop infections, offering a scalable solution for disease diagnosis and treatment. This work demonstrates her commitment to leveraging technology for sustainable farming. Through her dual focus on perception-based navigation and agricultural robotics, Sugumari is making impactful contributions that enhance both industrial automation and food security.