Siva Leela Krishna Chand Gudi

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About

Siva Leela Krishna Chand Gudi’s research lies at the intersection of human-robot interaction, social robotics, and cloud-based robotic systems. His work explores how robots can become more persuasive and effective communicators in service contexts. In his highly cited study “Bon Appetit! Robot Persuasion for Food Recommendation” (31 citations), Gudi demonstrated through a vignette experiment that a robot’s physical embodiment significantly influences its ability to persuade consumers—outperforming both humans and information kiosks in restaurant recommendations. This finding has practical implications for deploying social robots in hospitality and retail. Gudi also contributed foundational work on Fog Robotics, publishing two papers (totaling 29 citations) that address the limitations of cloud robotics by enabling more efficient, fluent, and robust human-robot interaction through localized computation. His research helps bridge the gap between cloud-dependent systems and real-time responsiveness, making robots more autonomous and reliable in dynamic environments. Gudi’s contributions are shaping how robots are designed to interact naturally and persuasively with people, advancing both the technical and social dimensions of robotics.