Longteng Xiao

Tianjin University of Technology and Education

Papers

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About

Longteng Xiao is a pioneering researcher in brain-computer interfaces (BCIs) and their integration with robotic systems. His work centers on developing practical, real-time BCI applications that bridge human neural signals with external devices, particularly for aerospace and manipulator control. Xiao’s most influential contribution, "Research on SSVEP-Based Controlling System of Multi-DoF Manipulator" (2009, 18 citations), demonstrates how steady-state visual evoked potentials (SSVEP) can reliably command multi-degree-of-freedom robotic arms—a foundational step for assistive and remote-operation technologies. He further advanced the field with a landmark study on a "Brain-computer interface based camera carrier in aerospace" (2009, 7 citations), which designed an online P300-based BCI system for controlling a robot to take photographs, including a simulated experiment for extravehicular space applications. This work showcased BCIs’ potential in extreme environments. In "Application of wavelet packet technique in BCI" (2009, 2 citations), Xiao improved SSVEP-based BCI performance by employing wavelet packet decomposition for feature extraction, overcoming the spectral leakage of traditional FFT methods and boosting information transmission rates. His research remains a key reference for engineers and neuroscientists aiming to create robust, real-world BCI systems for robotics and aerospace.