Savannah Paul

Papers

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About

Savannah Paul is a researcher at the forefront of human-robot interaction, with a focus on augmented reality (AR) and visual communication in shared workspaces. Her work addresses a critical challenge: how robots can intuitively convey their intentions to humans in dynamic environments. In her most-cited paper, "Visual Reference of Ambiguous Objects for Augmented Reality-Powered Human-Robot Communication in a Shared Workspace" (2020, 9 citations), Paul introduces a novel AR-based system that uses visual cues to resolve ambiguity in object references, enabling more natural and efficient collaboration between humans and robots. This contribution is foundational for developing transparent, trust-building interfaces in manufacturing, healthcare, and service robotics. By bridging the gap between abstract robotic planning and human perception, Paul’s research enhances safety and productivity in shared spaces. Her work has been recognized for its practical impact, offering a scalable framework for integrating AR into real-world robotic systems. As a rising voice in her field, Savannah Paul continues to explore how visual communication can democratize human-robot teamwork, making advanced automation more accessible and intuitive for non-expert users.