Max Robotics — Global Service Robot Directory + US Certification

About

Ruikang Zhong is an emerging researcher specializing in next-generation wireless communications, with a particular focus on reconfigurable intelligent surfaces (RIS), non-orthogonal multiple access (NOMA), and intelligent robotic systems for indoor networks. His work sits at the intersection of advanced communication techniques and autonomous systems, exploring how mobile robots can serve as dynamic infrastructure to improve wireless network performance. Zhong's most influential contribution, "Mobile Reconfigurable Intelligent Surfaces for NOMA Networks: Federated Learning Approaches," has garnered 48 citations and introduces a pioneering framework in which RIS units mounted on mobile robots enhance service quality for users while leveraging federated learning for intelligent resource management — a creative fusion of communication theory and machine learning. Complementing this, his work on path design and resource management for NOMA-enhanced indoor intelligent robots (22 citations) advances reliable communication frameworks using internationally recognized indoor channel models. Across his body of work, Zhong has consistently tackled the challenge of optimizing wireless resources in complex indoor environments, accumulating over 80 citations. His research offers meaningful contributions to the design of smart, adaptive wireless networks, making him a noteworthy voice in the future of indoor communication infrastructure.