Yanpo Guo
Papers
1
Total Citations
3
H-Index
1
About
Yanpo Guo is a researcher advancing the field of multi-robot systems, with a primary focus on network resilience, coordination under uncertainty, and safety-critical control. In their most-cited work, "Experimental Analysis of Multi-Robot Network Resilience Strategy Using Control Barrier Functions" (2023), Guo addresses a fundamental challenge: maintaining coordination among multiple robots when communication is disrupted or when Byzantine robots—those that are malfunctioning or malicious—threaten the group’s collective behavior. By integrating Control Barrier Functions (CBFs) into resilience strategies, Guo provides a rigorous, real-time framework that ensures safety and task completion even in adversarial environments. This contribution is pivotal for applications ranging from search-and-rescue to autonomous swarms. Though early in their career, Guo’s work has already garnered attention, with citations reflecting its relevance to both theoretical and experimental robotics. Their research bridges the gap between formal safety guarantees and practical deployment, offering a scalable solution for robust multi-agent coordination. For students and researchers exploring resilient autonomy, Guo’s studies represent a critical step toward trustworthy, interference-tolerant robotic networks.
Research Focus
Key Achievements
Top Papers
- 1