Xiaoting Sun

Xi'an University of Science and Technology

Papers

Total Citations

H-Index

About

Xiaoting Sun is a researcher specializing in mobile robotics and simultaneous localization and mapping (SLAM), with a particular focus on improving algorithm accuracy and safety performance in challenging environments. Her most notable contributions include the development of a mobile robot SLAM algorithm based on an improved firefly particle filter, which directly addresses the critical issues of particle weight degradation and particle depletion that commonly plague traditional particle filter SLAM methods. This work, published in 2019 and garnering 12 citations, demonstrates her ability to enhance positioning accuracy through bio-inspired optimization techniques. Additionally, Sun has advanced the field of mine robotics by proposing a SLAM method specifically designed to improve the safety performance of robots operating in hazardous underground environments, a contribution that has earned 8 citations. Her research bridges the gap between theoretical algorithm improvement and practical safety-critical applications, making her work valuable for both academic researchers and engineers developing autonomous systems for industrial and rescue operations.