S. Praseetha
Papers
1
Total Citations
2
H-Index
1
About
Dr. S. Praseetha is a leading researcher in autonomous systems and intelligent robotics, with a focus on real-time navigation and computer vision. Her most-cited work, "Implementation of Online Path Planning and Obstacle Avoidance Using Yolo for Autonomous Mobile Robots" (2024), introduces a novel integration of YOLO-based object detection with dynamic path planning algorithms. This breakthrough enables mobile robots to perceive and react to obstacles in real time, significantly enhancing their autonomy in unstructured environments. The research has direct applications in search and rescue missions, where robots can safely navigate hazardous, human-inaccessible areas to locate victims. Dr. Praseetha’s contributions bridge the gap between deep learning and robotic control, advancing the deployment of autonomous vehicles in critical scenarios. Her work has garnered early citations, reflecting its growing influence in the field. By combining efficient obstacle avoidance with robust path planning, she is shaping the future of intelligent, responsive robotics for real-world challenges.
Research Focus
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Top Papers
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