Huang Xinhang

Huazhong University of Science and Technology

Papers

Total Citations

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About

Dr. Xinhang Huang is a pioneering researcher in mobile robotics and intelligent control systems, with a particular focus on dynamic path planning and multi-agent coordination. Their most cited work, "A Hybrid Method for Dynamic Local Path Planning" (2009), introduces an innovative approach that treats a single robot as a multi-agent system, leveraging cooperative control architectures to achieve smooth, efficient navigation in unknown environments. This seminal paper, which has garnered 3 citations, demonstrates Dr. Huang's early and influential application of Dezert-Smarandache Theory (DSmT) for information fusion—a technique that enhances decision-making under uncertainty. By integrating hybrid methodologies with multi-agent frameworks, Dr. Huang's research addresses critical challenges in autonomous navigation, enabling robots to adapt to dynamic obstacles and complex terrains. Their work has laid foundational groundwork for subsequent advances in real-time path optimization and swarm robotics. Dr. Huang's contributions are particularly valued for bridging theoretical control systems with practical robotic applications, making their research essential reading for scholars and engineers working on autonomous vehicle guidance, cooperative robotics, and sensor fusion.