Karpagavalli Subramanian

Papers

Total Citations

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About

Karpagavalli Subramanian is a robotics researcher whose work bridges automation and healthcare, focusing on intelligent robotic systems for real-world medical applications. Her key research areas include robotic manipulation, deep reinforcement learning, and autonomous waste management systems. Subramanian’s most notable contribution is the design of an articulated robot arm specifically for garbage disposal in hospital environments, a critical innovation that addresses hygiene and safety concerns in medical settings. This work, published in 2023, has garnered 3 citations, reflecting its emerging relevance in healthcare robotics. She has also advanced the field of robot control by applying the Deep Deterministic Policy Gradient (DDPG) algorithm to enable continuous control of robot manipulators, tackling the challenge of high-dimensional state and action spaces in real-time operations. This 2021 study, with 1 citation, demonstrates her expertise in deep reinforcement learning for robotics. Subramanian’s research stands out for its practical focus—combining cutting-edge AI techniques with tangible solutions for hospital automation. Her work not only contributes to the growing body of knowledge in medical robotics but also inspires future innovations in autonomous systems for critical environments.