Luosong Guo

Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

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About

Luosong Guo is an emerging researcher at the forefront of intelligent robotics and communication systems, whose work bridges the gap between digital simulation and real-world autonomous operations. His primary research areas include swarm robotics, digital twin technology, and semantic communication for 3D reconstruction. In his pioneering 2024 paper, "A Parallel Intelligent Search and Rescue System for Swarm Robots Based on Digital Twin," Guo introduced a novel framework that leverages digital twins to coordinate multi-robot teams in complex search-and-rescue scenarios, enabling real-time parallel decision-making without physical risk. This work has already garnered 3 citations, signaling its foundational impact. His second major contribution, "A Semantic Communication System for Real-time 3D Reconstruction Tasks," addresses the critical challenge of high-precision robot localization and scene understanding. Guo proposed a cost-effective solution that transmits only essential semantic information—rather than raw data—to mobile edge devices, dramatically reducing computational demands and enabling affordable, real-time 3D semantic mapping. By tackling the prohibitive expense of high-power edge computing, Guo’s research paves the way for widespread deployment of intelligent robots in disaster response and autonomous navigation. His innovative fusion of digital twins and semantic communication marks him as a rising talent in next-generation robotic systems.