Xin Huo
Papers
2
Total Citations
36
H-Index
2
About
Xin Huo is a leading researcher in multi-robot systems, specializing in distributed task allocation and coalition formation under uncertainty. Their work addresses critical challenges in deploying mobile robots for hazardous environments, where optimal coordination is essential for safety and efficiency. Huo’s major contributions include developing a game-theoretical approach for task allocation that ensures minimum performance requirements are met across multiple robots—a framework that has garnered 22 citations since 2023. More recently, their 2024 paper on self-learning for heterogeneous multi-robot coalition formation tackles the complexity of uncertainty in decision-making, offering a novel method to achieve robust, suboptimal coordination. This work, with 14 citations, demonstrates Huo’s ability to integrate learning and game theory for real-world robotic applications. Their research is highly impactful for students and engineers designing autonomous systems for disaster response, exploration, or industrial automation. Huo’s achievements highlight a commitment to advancing distributed intelligence, making their profile essential for anyone interested in the frontier of cooperative robotics.
Research Focus
Key Achievements
Top Papers
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