Jenny Pavlova

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About

Jenny Pavlova’s research lies at the intersection of human-robot interaction and cognitive robotics, with a central focus on how robots can intuitively communicate their intentions to people. Her most cited work, “Exploration of intention expression for robots” (2012, 15 citations), introduces a systematic design framework for enabling robots to convey their goals across three levels of intention—from low-level actions to high-level plans. This foundational approach helps bridge the gap between machine logic and human expectation, fostering safer, more natural collaboration. Pavlova’s contributions are particularly valuable in domains where trust and synergy between humans and autonomous systems are critical, such as manufacturing, healthcare, and service robotics. By prioritizing transparent, non-verbal cues, her research advances the field’s understanding of how robots can become more predictable and socially aware partners. Though her citation count is modest, the conceptual impact of her work is significant, offering a clear methodology that continues to inform studies on expressive robot behavior and shared mental models in human-robot teams.