Xuru Yang
Papers
3
Total Citations
16
H-Index
3
About
Xuru Yang is a rising researcher in swarm robotics, specializing in scalable and risk-aware motion planning for large-scale multi-agent systems. Their work directly tackles the critical challenge of coordinating hundreds to thousands of cooperative robots while ensuring both efficiency and safety. Yang’s major contributions include the development of "SwarmPRM," a probabilistic roadmap method that balances scalability with solution quality for massive swarms, and a series of risk-aware planners that integrate Conditional Value-at-Risk (CVaR) constraints to guarantee safe, non-myopic motion in uncertain environments. These innovations address the traditional trade-off between scalability and safety, enabling swarms to perform complex, synchronized tasks without compromising robustness. With over 16 citations across their most-cited papers from 2023–2024, Yang’s work is gaining traction in the robotics community for its practical approach to real-world deployment. Their research is particularly notable for advancing very-large-scale systems, where conventional planners fail, making it essential reading for students and engineers working on autonomous drone fleets, warehouse logistics, or environmental monitoring.
Research Focus
Key Achievements
Top Papers
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