Briana Landavazo

Papers

Total Citations

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About

Briana Landavazo is a researcher whose work sits at the intersection of neural engineering and assistive robotics, with a particular focus on brain-computer interfaces (BCIs) for prosthetic control. Her most cited paper, "Brain-Computer Interface Application in Robotic Gripper Control" (2018, 3 citations), demonstrates her foundational contribution to the field: developing an EEG-based BCI system that enables direct neural communication between an operator and a robotic gripper. This work addresses a critical challenge in rehabilitation robotics—creating intuitive, real-time control pathways for individuals with motor impairments. By translating brain signals into actionable commands for prosthetic devices, Landavazo’s research helps bridge the gap between human intent and machine action, a key step toward more natural and accessible assistive technologies. Her work contributes to the broader effort of integrating BCIs into applications ranging from wheelchairs to virtual navigation, advancing the practical viability of neural control systems. While her citation count reflects an emerging career, Landavazo’s research is positioned at a promising frontier where neuroscience meets robotics, offering tangible pathways for improving quality of life through technology.