Liwei Cheng

Beijing University of Posts and Telecommunications, China Academy of Information and Communications Technology

Papers

Total Citations

H-Index

About

Dr. Liwei Cheng is a pioneering researcher at the intersection of neural engineering and robotics, specializing in brain-computer interfaces (BCIs) and hybrid control systems. His work focuses on developing intuitive, non-invasive methods for robotic arm manipulation, integrating multiple neural signals to enhance precision and user adaptability. Cheng’s most influential contribution is his 2022 study on a robotic arm control system that fuses brain and muscle signals, achieving 17 citations for its novel approach to reducing cognitive load while improving real-time responsiveness. Building on this, his 2025 paper on a hybrid BCI combining motor imagery (MI) and steady-state visual evoked potentials (SSVEP) has already garnered 6 citations, demonstrating a scalable framework for assistive robotics. By merging neurophysiological data streams, Cheng addresses critical limitations in single-modal BCIs, such as signal variability and user fatigue. His work holds transformative potential for rehabilitation technologies and prosthetic control, offering paralyzed individuals more natural, efficient interaction with their environment. With a clear trajectory toward practical, user-centric neural interfaces, Cheng is shaping the next generation of human-machine collaboration.