Miao Guo
Papers
1
Total Citations
6
H-Index
1
About
Miao Guo is a researcher in robotics and multi-agent systems, with a focus on distributed coordination, localization, and formation control. Their key contributions lie in developing algorithms that enable teams of mobile robots to autonomously navigate and cooperate in unknown environments using only local relative measurements. In their most cited work, "Simultaneous distributed localization, mapping and formation control of mobile robots based on local relative measurements" (2020, 6 citations), Guo introduced a distributed observer framework that allows robots to simultaneously estimate their positions and map landmarks while maintaining a stable formation during group motion. This work addresses a critical challenge in swarm robotics—achieving robust, scalable coordination without centralized infrastructure or global sensing. Though early in their citation trajectory, Guo’s research is notable for integrating localization, mapping, and formation control into a unified distributed solution, offering practical pathways for real-world applications in search-and-rescue, warehouse automation, and environmental monitoring. Their work exemplifies a systems-level approach to multi-robot autonomy, bridging theory and implementation.
Research Focus
Key Achievements
Top Papers
- 1