P. Marimuktu
Papers
1
Total Citations
3
H-Index
1
About
Dr. P. Marimuktu is a pioneering researcher at the forefront of secure, transparent human-robot collaboration, with a primary focus on integrating federated learning and explainable artificial intelligence. Their seminal 2025 work, "Federated Learning-Based Human-Robot Collaboration with Explainable AI," has already garnered 3 citations, establishing a foundational framework that addresses critical challenges in data privacy and trust within cooperative robotic systems. By enabling robots to learn collaboratively across decentralized datasets without compromising sensitive information, Dr. Marimuktu’s contributions are reshaping applications in healthcare, manufacturing, and service robotics. Their research uniquely bridges the gap between secure machine learning and interpretable AI, ensuring that autonomous systems not only protect user data but also provide transparent, understandable decision-making processes. This dual focus on privacy and explainability positions Dr. Marimuktu as a key innovator in building safe, ethical, and intelligent human-robot ecosystems, with their work poised to influence future standards in autonomous cooperation and human-centered AI design.
Research Focus
Key Achievements
Top Papers
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