Zhe Xia
Papers
2
Total Citations
26
H-Index
2
About
Zhe Xia is a rising researcher at the forefront of construction robotics, with a primary focus on bridging the gap between autonomous systems and real-world infrastructure inspection. His work centers on developing intelligent path-planning and perception solutions for climbing robots, directly addressing a critical bottleneck in automated structural health monitoring. In his highly cited 2025 paper (21 citations), Xia pioneered a complete-coverage path planning method for cable-stayed bridge tower inspection by integrating Building Information Models (BIM) with climbing robot kinematics. This contribution is pivotal, as it moves beyond manual teleoperation toward true autonomy, enabling robots to navigate complex 3D surfaces without human guidance. Additionally, his 2024 systematic review (5 citations) provides a foundational taxonomy of construction robotics, tracing the evolution from muscular, heavy-lift machines to dexterous, sensor-rich platforms. This work clarifies the effectiveness of different robotic paradigms across construction tasks, offering a valuable roadmap for future research. Through these contributions, Xia is helping to transform how critical infrastructure is maintained, promising safer, more efficient, and data-driven inspections that reduce human risk and operational downtime.
Research Focus
Key Achievements
Top Papers
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- 2