Xiaotong Zhang
Papers
2
Total Citations
11
H-Index
2
About
Xiaotong Zhang is a leading researcher at the intersection of robotics, autonomous systems, and smart manufacturing, with a core focus on multi-robot coordination and human-centric automation. Their major contributions include pioneering the Dueling Priority-Based Search (D-PBS) algorithm, a breakthrough for motion planning among multiple nonholonomic robots in congested, complex environments—a problem where deadlocks escalate dramatically with robot count. This work, published in 2024 and already garnering 7 citations, addresses a critical bottleneck in real-world robotic deployments. Zhang also introduced the ParallelWorkforce framework, a visionary architecture for Industry 5.0 that synergistically coordinates digital, robotic, and biological workers. With 4 citations since its 2024 publication, this framework establishes a unified automation model for human-centric smart manufacturing, directly tackling the challenge of reducing human workload while boosting production efficiency across diverse applications. By bridging theoretical planning algorithms with practical industrial frameworks, Zhang’s research is shaping the future of collaborative, intelligent work environments.
Research Focus
Key Achievements
Top Papers
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