Yangqing Fu

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About

Yangqing Fu is a rising researcher at the forefront of empathetic human-robot interaction and autonomous navigation for non-traditional robotic platforms. Fu’s primary contributions lie in developing intelligent frameworks that enable robots to perceive, understand, and respond to human emotions, as well as navigate challenging, unstructured environments. In their highly cited 2024 work, Fu introduced the Multi-modal Hierarchical Empathetic (MHE) framework, a novel system that integrates visual, auditory, and body control signals to allow social robots to generate contextually appropriate affective responses—a critical step toward more natural human-robot collaboration. This paper has already garnered 8 citations, reflecting its immediate impact on the field. Fu also advanced state estimation with a tightly coupled distributed Kalman filter designed to operate robustly under non-Gaussian noise conditions (2022, 8 citations), addressing a fundamental challenge in multi-sensor fusion. Demonstrating versatility, Fu tackled autonomous navigation for a novel skiing robot in unknown snow environments (2024), proposing a risk-region-based obstacle avoidance strategy for this nonholonomic system. By bridging empathic AI with practical robotic control, Fu’s work is shaping the next generation of socially aware and physically capable robots.