Vibhor Nikhra

Papers

Total Citations

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About

Vibhor Nikhra is a researcher whose work explores the intersection of artificial intelligence, robotics, and cognitive modeling, with a particular focus on emotion-based decision-making in autonomous systems. His most-cited paper, "On using emotions in decision-making by situated robots" (2012, 3 citations), investigates how synthetic emotional dynamics can enhance a robot's ability to make more adaptive and context-aware decisions in real-world environments. This contribution addresses a key challenge in situated robotics: moving beyond purely logical or reactive frameworks to incorporate affective processes that mimic biological cognition. By embedding emotion-like mechanisms into robotic architectures, Nikhra’s work offers a novel pathway toward more flexible, resilient, and human-like machine behavior. While his citation count reflects a niche but growing area of study, his research sits at the forefront of affective computing and embodied AI, with implications for human-robot interaction, autonomous navigation, and cognitive architectures. Nikhra’s work is particularly valuable for students and researchers interested in bridging the gap between computational models of emotion and practical robotic applications, offering a foundation for future innovations in emotionally intelligent machines.