Junhao Xue

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About

Junhao Xue’s research lies at the intersection of assistive robotics, neural engineering, and human–machine interaction, with a particular focus on restoring motor function for individuals with severe motion impairments. His most cited work, “An Eye Tracking and EEG Based Human-Robotic Interactive System for Motion Impaired Patients” (2021), introduces a novel hybrid interface that combines eye tracking and electroencephalography (EEG) to enable patients with amyotrophic lateral sclerosis (ALS) to control robotic systems through visual feedback. This system directly addresses the profound difficulty ALS patients face in grasping objects, offering a non-invasive, real-time solution that bypasses damaged motor pathways. By integrating multimodal biosignals, Xue’s approach enhances the reliability and intuitiveness of brain–robot communication, a critical step toward practical assistive technologies. His contributions have garnered attention in the rehabilitation robotics community, with his work cited in studies on brain–computer interfaces and adaptive robotic control. Xue’s research not only advances the technical frontier of human–robot interaction but also holds tangible promise for improving quality of life in clinical populations, making him a notable emerging voice in neurorehabilitation engineering.