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About

Yuanwei Liu is a prolific researcher whose work sits at the dynamic intersection of wireless communications, robotics, and next-generation network technologies. His research primarily focuses on Non-Orthogonal Multiple Access (NOMA) techniques, Reconfigurable Intelligent Surfaces (RIS), and robotic communications for 5G and beyond (B5G) networks — areas where he has made substantial and recognized contributions. Liu's most impactful work explores how mobile RIS-equipped robots can enhance wireless network performance, garnering 48 citations for his federated learning-based framework alone. His pioneering investigations into trajectory optimization, passive beamforming, and integrated communication-control-computing (3C) architectures demonstrate a sophisticated systems-level approach to next-generation connectivity challenges. Notably, his SLARM framework innovatively bridges simultaneous localization and radio mapping for communication-aware robots, reflecting his commitment to practical, real-world robotic applications. Earlier in his career, Liu contributed meaningfully to aeronautical robotics, developing precision drilling systems for aircraft assembly — work that underscores his versatile engineering foundation. Collectively accumulating nearly 180 citations across diverse research threads, Liu's scholarship reveals a researcher consistently ahead of emerging technological curves, making him an essential reference for students and professionals navigating robotics-integrated wireless communications research.