Baosu Guo
Papers
2
Total Citations
25
H-Index
2
About
Dr. Baosu Guo is a leading researcher in the control of complex multi-agent and robotic systems, with a primary focus on achieving robust, finite-time coordination under challenging real-world conditions. His work masterfully addresses the critical issues of uncertainty, switching communication topologies, and external disturbances. Dr. Guo’s most impactful contribution, "Robust finite-time consensus control for Euler–Lagrange multi-agent systems subject to switching topologies and uncertainties" (2022, 23 citations), provides a rigorous framework for ensuring that a network of agents—from robotic arms to spacecraft—can reach an agreement in a guaranteed, finite time, even when their communication links are unreliable. This work is foundational for applications demanding high reliability and speed. Further expanding his impact, Dr. Guo has advanced formation control for nonholonomic mobile robots, as seen in his work on path-guided formation using extended state observers (2022). By developing controllers that compensate for unmeasured velocities and disturbances, he is enabling more practical and resilient autonomous navigation. Dr. Guo’s research is pivotal for the next generation of autonomous systems, from drone swarms to collaborative manufacturing.
Research Focus
Key Achievements
Top Papers
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- 2