Yaqi Xie

Papers

Total Citations

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About

Yaqi Xie is an emerging researcher working at the intersection of robotics, artificial intelligence, and human-robot interaction, with a particular focus on assistive robotics and action anticipation. Their most notable work introduces a neuro-symbolic framework for short-context action anticipation, addressing one of the fundamental challenges in in-home robotics: enabling systems to predict and assist with human actions from limited observational data. This contribution is especially significant as robots become increasingly accessible to the general public, where reliable and intuitive assistance in everyday environments is critical. By combining neural and symbolic reasoning approaches, Xie's research bridges the gap between data-driven perception and structured, interpretable decision-making — a combination that holds great promise for safe and explainable assistive systems. Although still early in their career with emerging citation counts, the relevance of this work to real-world deployment of assistive robots positions Xie as a researcher to watch in the growing field of long-horizon task planning. Their contributions speak to broader ambitions in making robotic assistance practical, adaptive, and genuinely helpful in domestic and everyday settings.