Yuzhen Ma

Papers

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About

Dr. Yuzhen Ma is a pioneering researcher in the field of brain-computer interfaces (BCIs) and robotic control, with a focus on asynchronous, shared-control systems for high-degree-of-freedom (DoF) devices. Her most cited work, "Asynchronous brain-computer interface shared control of robotic grasping" (2019, 23 citations), addresses a critical challenge: enabling users to control a robot to grasp targets in three-dimensional space without the constant, predefined mental tasks required by synchronous BCIs. By integrating shared control—where the BCI interprets user intent while the robot handles fine motor details—Dr. Ma’s research significantly enhances the practicality and usability of BCIs for assistive robotics, particularly for individuals with severe motor impairments. Her contributions lie at the intersection of neural engineering, machine learning, and human-robot interaction, demonstrating how adaptive algorithms can reduce cognitive load while maintaining precise control. This work has been cited in studies advancing BCI-driven prosthetics and rehabilitation systems, underscoring its impact on making neuroprosthetic technologies more intuitive and accessible. Dr. Ma’s research continues to push the boundaries of real-world BCI applications, offering a promising path toward seamless human-machine collaboration.