Xian'en Liu
Papers
2
Total Citations
28
H-Index
2
About
Xian'en Liu has made foundational contributions to mobile robotics, with a primary focus on intelligent path planning and probabilistic localization. His most influential work, "A modified artificial potential field algorithm for mobile robot path planning" (2008), has garnered 26 citations and addresses a critical limitation of classical APF methods—the local minima problem. Liu’s innovative solution, combining robot regression with potential field filling, enables more robust and efficient navigation in cluttered environments, a key challenge in autonomous systems. In parallel, his research on sonar-based particle filtering localization (2008) advances global localization techniques by integrating Bayesian filtering with Markov processes, using particle sets to accurately model robot pose distributions. This work demonstrates his expertise in sensor fusion and probabilistic reasoning. Liu’s contributions are particularly valuable for students and researchers in robotics, offering practical algorithms that balance theoretical rigor with real-world applicability. His work not only solves persistent obstacles in autonomous navigation but also provides a foundation for subsequent advances in intelligent mobile systems.
Research Focus
Key Achievements
Top Papers
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