Papers
1
Total Citations
6
H-Index
1
About
Yuxuan Yang is a pioneering researcher at the intersection of brain-computer interfaces (BCI) and autonomous robotics. His work centers on developing non-invasive neural control systems, with a particular focus on integrating steady-state visual evoked potentials (SSVEP) with advanced navigation technologies. Yang’s most cited paper, "Mind Controlled Vehicle Based on Lidar SLAM Navigation and SSVEP Technology" (2021, 6 citations), represents a breakthrough in practical BCI applications. By fusing lidar-based simultaneous localization and mapping (SLAM) with SSVEP signals, he demonstrated how users could mentally command a vehicle through complex environments without physical input. This work addresses a critical challenge in assistive technology—enabling seamless, real-time control for individuals with motor impairments. Yang’s contributions extend beyond theoretical frameworks; his system achieves robust performance by combining high-precision environmental mapping with reliable neural decoding, paving the way for intelligent, brain-driven mobility aids. His research has been recognized for its interdisciplinary impact, bridging neuroscience, robotics, and human-computer interaction. As BCI technology rapidly evolves, Yang’s innovations stand out for their practical viability, offering a glimpse into a future where thought alone can navigate the physical world.
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