Yelan Wu

Beijing Technology and Business University

Papers

Total Citations

H-Index

About

Yelan Wu is a robotics researcher whose work bridges autonomous navigation and brain-computer interfaces (BCI). Their key research areas include mobile robot navigation, sensor fusion, and neural control systems. Wu's most cited work, "A Navigation Framework for Mobile Robots with 3D LiDAR and Monocular Camera" (2018, 7 citations), introduces a robust framework that integrates 3D LiDAR data with monocular camera input to enable real-time obstacle avoidance and global path planning. This contribution addresses a critical challenge in autonomous robotics: reliable navigation across diverse environments through multi-sensor fusion. More recently, Wu has ventured into the emerging field of BCI-based robotics with "A Robot Control Method based on Motor Imagery EEG Signals" (2023, 2 citations), exploring how electroencephalography (EEG) signals can be decoded to control robotic systems—a promising direction for assistive technologies and human-robot interaction. Though early in their career, Wu's work demonstrates a commitment to advancing both the hardware and human-centered dimensions of robotics, with potential applications ranging from autonomous vehicles to neuroprosthetics. Their research trajectory signals a thoughtful integration of classical robotics with cutting-edge neural interfaces.