Papers
2
Total Citations
16
H-Index
2
About
Yuhua Cheng is a leading researcher in multi-robot systems, autonomous navigation, and networked control, with a focus on privacy, security, and emergent dynamics. Their most-cited work, a 2025 paper on zero-trust-based privacy-preserving distributed localization for mobile robot networks (12 citations), introduces the ZTPP-DILOC algorithm, a groundbreaking approach that safeguards robot privacy during cooperative localization—a critical enabler for secure autonomous navigation. This work addresses a fundamental challenge in multi-robot coordination, ensuring that robots can determine their positions without exposing sensitive data, even in adversarial environments. Cheng also explores the complexities of signed networks in asynchronous multiagent systems (2022, 4 citations), where cooperative and competitive interactions govern agent behavior, with applications in multi-robot formation and opinion dynamics. By tackling limited communication resources, this research advances the theoretical foundations for resilient, real-world multi-agent coordination. With a growing citation impact, Cheng’s contributions are shaping the future of secure, decentralized robotics, offering practical solutions for privacy-critical applications like surveillance, search-and-rescue, and industrial automation. Their work stands at the intersection of control theory, cybersecurity, and robotics, inspiring new directions in trustworthy autonomous systems.
Research Focus
Key Achievements
Top Papers
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