Hemen Zandi

Papers

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About

Hemen Zandi is a researcher whose work lies at the intersection of robotics, artificial intelligence, and human-robot interaction. With a focus on social robotics, Zandi has made notable contributions to the development of autonomous systems capable of recognizing and responding to human presence in both indoor and outdoor environments. Their most-cited paper, "Indoor and Outdoor Face Recognition for Social Robot, Sanbot Robot as Case Study" (2020), explores the critical role of face recognition in enabling seamless human-robot interaction. This work addresses the technical challenges of deploying social robots in real-world settings, emphasizing the need for robust perception and path planning to foster comfort and trust between humans and machines. While Zandi’s citation count is still growing—with the top paper garnering 4 citations—the research lays important groundwork for advancing socially aware robots. By tackling the practical demands of face recognition across varied environments, Zandi contributes to a future where robots can more naturally integrate into daily life, supporting applications in healthcare, hospitality, and public service. Their work reflects a commitment to bridging the gap between robotic capability and human expectation.