Taranjeet Singh Bhatia

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About

Taranjeet Singh Bhatia’s research lies at the compelling intersection of artificial intelligence, social robotics, and human-robot interaction, with a particular focus on culturally-aware computing and physical security. His most influential work introduces a groundbreaking computational model of social norms, which operationalizes abstract cultural values—such as dignity, generosity, and politeness—into quantifiable Culture-Sanctioned Social Metrics (CSSMs). This framework, detailed in his 2018 paper (18 citations), enables autonomous systems to understand and adhere to societal expectations, a critical step toward deploying robots in culturally diverse human environments. Bhatia has also advanced physical security robotics, designing algorithms for robotic bodyguards that dynamically position themselves to shield a VIP within moving crowds (6 citations). Earlier, he modeled cross-cultural trust in mixed human-robot teams, analyzing how local populations perceive soldiers and robots during market patrols (5 citations). By bridging computational ethics, social dynamics, and real-world deployment challenges, Bhatia’s work provides foundational tools for creating robots that are not only functionally effective but also socially and culturally competent.