Zetian Zhang

Papers

Total Citations

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About

Zetian Zhang is a robotics researcher whose work lies at the intersection of formal methods, multi-agent coordination, and motion planning. His research focuses on developing algorithms that enable teams of autonomous vehicles to satisfy complex mission specifications while respecting real-world dynamical constraints. Zhang’s most cited work, "Decentralized route-planning for multi-vehicle teams to satisfy a subclass of linear temporal logic specifications" (2022, 5 citations), introduces a distributed approach that allows multiple robots to coordinate their paths while adhering to high-level temporal logic requirements—a critical capability for applications like warehouse automation and search-and-rescue missions. His earlier contribution, "Incremental path repair in hierarchical motion-planning with dynamical feasibility guarantees for mobile robotic vehicles" (2015, 3 citations), addresses a fundamental challenge in autonomous navigation: ensuring that high-level plans are dynamically feasible for execution. By developing a hierarchical framework that can incrementally repair paths while preserving vehicle constraints, Zhang’s work bridges the gap between abstract planning and low-level control. Though early in his career, his research has already established a foundation for scalable, provably-correct multi-robot systems, making him a promising voice in the field of autonomous mobile robotics.