K. Rajathi

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

Papers

Total Citations

H-Index

About

K. Rajathi’s research lies at the intersection of autonomous robotics and 3D computer vision, with a focus on enabling intelligent systems to perceive and navigate unstructured environments. Her work addresses two critical challenges: persistent monitoring of unknown areas and high-fidelity 3D scene understanding. In her 2023 paper on adaptive path planning, she introduced a novel framework for the Unknown environment Persistent Monitoring Problem (PMP), enabling an unmanned ground vehicle (UGV) to dynamically locate and assess the likelihood of unknown events—a key capability for applications in environmental surveillance and disaster response. That same year, she co-authored "Point Sampling Net," which revolutionizes instance segmentation in point cloud data by overcoming occlusion and scale ambiguities inherent in 2D imagery. This work has direct implications for robotics and augmented reality, particularly in precision agriculture, where accurate 3D modeling of crops and terrain is essential. Each of these papers has garnered 5 citations, reflecting early but growing recognition of her contributions. Rajathi’s dual focus on adaptive navigation and robust 3D perception positions her as a rising voice in the development of autonomous systems that operate reliably in the real world.