Payman Sharafian

Papers

Total Citations

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About

Payman Sharafian is a roboticist whose research centers on human-robot interaction, assistive robotics, and adaptive control systems. His most notable contribution is the development of the Adaptive Robotic Nursing Assistant (ARNA), a service mobile manipulator designed to support healthcare environments. In his highly cited 2024 paper, "Neural Human Intent Estimator for an Adaptive Robotic Nursing Assistant," Sharafian introduced a novel, model-free neural estimator that enables robots to infer human intent in real time during physical interactions. This work addresses critical challenges in safety, predictability, and performance for collaborative robots, particularly in nursing and caregiving contexts. By allowing robots to anticipate human actions rather than simply react, his research bridges the gap between autonomous systems and human-centered design. With 3 citations already in a short time, his work is gaining traction in the assistive robotics community. Sharafian’s contributions are paving the way for more intuitive and responsive robotic assistants, promising to transform how robots support vulnerable populations in clinical and home settings.