Fan Guo

Tianjin University, University of Electronic Science and Technology of China

Papers

Total Citations

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About

Fan Guo is a robotics researcher whose work centers on bio-inspired mechanisms, tensegrity structures, and multi-agent systems. His most influential contributions lie in the design and analysis of novel tensegrity robots, where he has pioneered both kinematic and static modeling for these compliant, lightweight systems. His 2020 paper on tensegrity robot analysis has garnered 40 citations, establishing a foundational framework for the field. Building on this, Guo developed a quadruped robot with tensegrity legs (2022, 26 citations), demonstrating how tensegrity principles can enhance locomotion robustness and energy efficiency—a significant step toward more resilient legged robots. Beyond terrestrial robotics, Guo has also contributed to aerial swarm coordination, proposing a multi-UAV collaborative search and tracking scheme in 3D space (2019). This work introduced an innovative figure-8 trajectory model combined with genetic algorithms for efficient target detection, achieving minimal search time. His research uniquely bridges theoretical mechanics with practical robot design, offering students and researchers a compelling model for integrating structural innovation with autonomous systems.