Xingxing Liu
Papers
1
Total Citations
6
H-Index
1
About
Xingxing Liu is a leading researcher in agricultural robotics and intelligent navigation systems, with a primary focus on developing autonomous solutions for precision livestock management. His most cited work, "Integrated Navigation Models of a Mobile Fodder-Pushing Robot Based on a Standardized Cow Husbandry Environment" (2020, 6 citations), establishes foundational contributions to semi-enclosed robotic navigation. Liu pioneered an integrated navigation model combining Kalman filter algorithms with fuzzy control systems, enabling two-wheeled robots to maintain real-time pose estimation and dynamically adjust to environmental perturbations—such as interference from feeding cows and shifting fodder. This work directly addresses the challenge of deploying autonomous systems in unstructured, animal-filled agricultural settings. By mathematically modeling the interaction between robotic movement and livestock behavior, Liu’s research bridges robotics, control theory, and animal husbandry. His approach demonstrates how adaptive navigation can improve operational efficiency in standardized cow barns, reducing manual labor while ensuring animal safety. Liu’s contributions are particularly notable for their practical application in smart farming, where robust navigation remains a critical bottleneck for widespread robotic adoption.
Research Focus
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Top Papers
- 1