P. V. Pramila

Papers

Total Citations

H-Index

About

P. V. Pramila is a researcher at the forefront of intelligent robotics and computer vision, with a focus on developing systems that bridge the gap between automation and real-world utility. Her primary research areas include medical assistive robotics, object classification, and human-robot interaction. In her highly cited 2023 work, "Design and Development of Robots for Medical Assistance," she introduced a novel framework integrating Fuzzy Temporal Rule-based Semantic Analysis to enhance voice identification, object grasping, and feature selection in assistive robots—a contribution that has garnered 66 citations for its potential to revolutionize patient care. Pramila also advanced industrial automation through her 2022 study on "Colour based Object Classification using KNN Algorithm," which achieved 5 citations by improving object detection accuracy using color properties. Her work demonstrates a commitment to making robots more intuitive and efficient, whether in healthcare or manufacturing. By combining artificial intelligence with practical engineering, Pramila’s research not only pushes the boundaries of autonomous systems but also lays the groundwork for safer, more responsive robotic assistants. Her achievements highlight a promising trajectory in applied robotics, inspiring further innovation in intelligent automation.