Papers
1
Total Citations
2
H-Index
1
About
Xu Cai is a robotics researcher specializing in locomotion systems for challenging environments, with a focus on leg-wheel hybrid robots designed to navigate unexplored rough terrain. Their major contribution lies in the kinematic modeling and simulation of adaptive robotic platforms that combine the efficiency of wheels with the agility of legs, enabling traversal over obstacles and uneven surfaces where traditional wheeled or tracked robots fail. This work, exemplified by their 2019 paper on leg-wheel robot kinematics, provides foundational frameworks for designing robots capable of autonomous exploration in disaster zones, planetary surfaces, and other unstructured settings. While their citation count remains modest—with their most-cited paper garnering 2 citations—Cai’s research addresses a critical gap in field robotics, offering practical insights into motion planning and stability control for hybrid locomotion. Their simulations and models serve as a stepping stone for future experimental validations and real-world deployments. By bridging theoretical kinematics with application-driven design, Xu Cai contributes to the growing body of work aimed at creating resilient, versatile robots for extreme environments, making their research relevant for students and engineers interested in mobile robotics, mechanical design, and autonomous navigation.
Research Focus
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Top Papers
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