E. Poongothai

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About

E. Poongothai is a leading researcher in the intersection of artificial intelligence and robotics, with a primary focus on designing intelligent systems for medical assistance. Her most-cited work, the 2023 chapter “Design and Development of Robots for Medical Assistance” (66 citations), introduces a novel Fuzzy Temporal Rule-based Semantic Analysis algorithm that enables assistive robots to perform critical tasks such as voice identification, object grasping, feature selection, and classification. This contribution has significantly advanced the field of human-robot interaction in healthcare, offering a robust framework for autonomous decision-making in clinical environments. Poongothai’s research is widely recognized for its practical impact, with her work cited by engineers and clinicians developing next-generation assistive technologies. Her achievements underscore a commitment to bridging theoretical AI with real-world medical applications, making her a pivotal figure in the evolution of intelligent robotic care.