Xue-hao Liu

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About

Xue-hao Liu is a researcher specializing in mobile robotics, autonomous navigation, and intelligent logistics systems, with a focused expertise in algorithmic optimization for real-world robotic applications. Liu's work centers on advancing path planning methodologies, particularly through innovative refinements to the classical A* algorithm — a foundational technique in artificial intelligence and robotics used to compute optimal navigational routes. Liu's most recognized contribution, a 2020 study on improved A* algorithm-based path planning for mobile robots, has garnered 11 citations, demonstrating meaningful influence within the robotics research community. Building on earlier work published in 2019, which explored task scheduling alongside path planning in warehouse logistics environments, Liu has consistently pushed toward practical, efficiency-driven solutions for autonomous systems operating in complex, dynamic spaces. The 2019 study reflects Liu's keen interest in the intersection of robotics and industrial automation, addressing the growing demands of modern warehouse management and e-commerce fulfillment systems. Together, these contributions position Liu as an emerging voice in the field of intelligent robotic systems, with research that bridges theoretical algorithmic development and tangible real-world deployment challenges in logistics and autonomous navigation.