Xinqian Bian

Papers

Total Citations

H-Index

About

Xinqian Bian is a researcher whose work centers on mobile robotics, with a particular focus on autonomous navigation and simultaneous localization and mapping (SLAM). Her contributions are foundational in applying advanced computational methods to improve how robots perceive and move through their environments. In her most cited work, "SRCKF Based Simultaneous Localization and Mapping of Mobile Robots" (2013), she introduced a square-root cubature Kalman filter approach to enhance the accuracy and robustness of SLAM, a critical challenge in robotics. This paper has garnered 6 citations, reflecting its niche but meaningful impact. Earlier, in "Application of reinforcement learning in autonomous navigation for mobile robot" (2007), Bian critically evaluated common navigation algorithms and proposed reinforcement learning as a solution, using neural networks to address generalization issues. This work, with 2 citations, highlights her early recognition of machine learning’s potential in robotics. Bian’s research bridges theoretical innovation and practical application, offering valuable insights for students and researchers exploring intelligent robotic systems. Her work underscores the evolution from classical control to learning-based approaches in autonomous navigation.