Pallavi Tilloo

Papers

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About

Pallavi Tilloo is a researcher at the forefront of human-robot interaction, with a primary focus on computational trust modeling and collaborative robotics. Her most-cited work, "A POMDP-based Robot-Human Trust Model for Human-Robot Collaboration" (2022), introduces a groundbreaking framework that enables robots to dynamically assess and adapt to human trustworthiness during collaborative tasks. By leveraging Partially Observable Markov Decision Processes (POMDPs), Tilloo’s model allows robots to infer human behavioral consistency and adjust their actions accordingly—particularly in critical hand-over tasks. This work, which has garnered 6 citations, addresses a fundamental challenge in robotics: how machines can develop a cognitive-like understanding of trust to enhance teamwork and safety. Tilloo’s contributions are significant for advancing autonomous systems that work seamlessly alongside humans in manufacturing, healthcare, and service industries. Her research not only bridges artificial intelligence and psychology but also lays the groundwork for more intuitive and reliable human-robot partnerships. As a rising voice in her field, Tilloo continues to explore how computational models can make robots more perceptive and responsive partners in shared environments.