Charlotte Cathcart

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About

Charlotte Cathcart is a rising leader in socially aware robotics and bio-inspired decision-making systems. Her research centers on developing autonomous robots that can navigate dynamic human environments with unprecedented social intelligence. Cathcart’s major contribution is the concept of “opinion-driven navigation,” where a robot forms and updates a real-time “opinion” about how to pass human movers, using nonlinear dynamics to make proactive, socially compliant path choices. Her foundational 2023 paper on this approach has already garnered 23 citations, signaling strong interest from the human-robot interaction community. In 2024, she introduced Spiking Nonlinear Opinion Dynamics (S-NOD), a groundbreaking model that brings excitable, spiking dynamics—inspired by neural systems—into decision-making for two-option choices. This work offers superior agility, enabling robots to respond rapidly and adaptively to sudden environmental changes. Cathcart’s work bridges control theory, social psychology, and neuroscience, positioning her at the forefront of next-generation autonomous systems that are not only efficient but also intuitively collaborative.