Xuyang Dong

Shenyang Institute of Automation, State Key Laboratory of Robotics

Papers

Total Citations

H-Index

About

Xuyang Dong’s research lies at the intersection of brain-computer interfaces (BCI) and robotic manipulation, with a focus on creating intuitive, semi-autonomous systems for assistive applications. In their most cited work, a 2021 study, Dong developed a BCI-driven robotic system that interprets electroencephalogram (EEG) commands to perform grasping tasks, enabling control for users with limited hand mobility or during hands-busy scenarios. This work, with 3 citations, demonstrates a practical pathway for integrating neural signals with robotic autonomy. Dong also contributed a fast, straightforward hand-eye calibration method using stereo cameras (2022, 3 citations), simplifying the classic AX=XB problem for modern robotic setups. By streamlining the transformation of 3D coordinates between camera and robot frames, this approach enhances the accessibility of calibration for real-world systems. Though early in their career, Dong’s dual focus on neural interfaces and robotic perception signals a commitment to bridging human intent and machine action—a promising foundation for future advances in assistive robotics and human-robot collaboration.