Ruomu Feng

Hebei University of Science and Technology

Papers

Total Citations

H-Index

About

Ruomu Feng is a researcher whose work sits at the intersection of robotics, edge computing, and data-driven intelligence. Their most cited paper, "Robot, Edge Intelligence and Data Survey" (2021), offers a systematic review of how edge devices are being integrated with intelligent systems. In this work, Feng meticulously observes, records, and analyzes events from real-world case studies, synthesizing them into a structured framework that maps the current landscape of edge intelligence in robotics. While the citation count for this paper is modest at three, the contribution lies in its methodological rigor—providing a clear, step-by-step approach to surveying a rapidly evolving field. Feng’s work is particularly valuable for researchers and students seeking a foundational understanding of how data flows between robots and edge devices, and how intelligence can be distributed across these systems. By focusing on systematic observation and analysis, Feng helps bridge the gap between theoretical frameworks and practical implementation, making their research a useful starting point for those exploring the convergence of robotics and edge AI.