Xiaoya Li

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About

Xiaoya Li is a leading researcher at the intersection of brain-computer interfaces (BCI) and intelligent robotics, with a primary focus on noninvasive EEG-based control systems. Her major contributions lie in developing robust, hierarchical control frameworks that enable safe and intuitive brain-robot teleoperation. In her highly cited 2024 systematic review, Li comprehensively mapped the two-decade evolution of brain-controlled mobile robotics, highlighting their potential to restore mobility for individuals with severe physical disabilities and extend human reach in challenging environments. Her groundbreaking work on robust predictive control introduces a two-loop control scheme that simultaneously enhances safety, navigation, and overall system reliability during EEG-based teleoperation—a critical advancement for real-world deployment. Both of her most-cited papers have already garnered 17 citations each, reflecting the immediate impact and relevance of her research. By tackling the core challenges of signal robustness and control stability, Li is paving the way for practical, noninvasive brain-robot interfaces that could transform assistive technology and human-machine interaction.