Kaixuan Tian

Northeastern University

Papers

1

Total Citations

5

H-Index

1

About

Kaixuan Tian is a leading researcher in robotics and sensor fusion, whose work is driving advances in autonomous navigation for multi-level indoor environments. His primary research focuses on developing high-precision, low-cost localization systems for wheeled robots, addressing the critical challenge of accurate 3D positioning across different floors. Tian’s most notable contribution is a novel multi-sensor fusion framework that achieves centimeter-level indoor 3D localization, a breakthrough that enables safe and reliable robot movement in complex, multi-story spaces without relying on expensive hardware. This work, published in 2025 and already garnering 5 citations, demonstrates his ability to solve a fundamental problem in mobile robotics: achieving robust, real-time positioning with accessible sensors. By integrating data from multiple low-cost sensors, Tian’s approach significantly enhances the practicality of autonomous systems in warehouses, hospitals, and office buildings. His research is not only technically rigorous but also highly applied, promising to lower the barrier for deploying intelligent robots in everyday settings. As a rising figure in the field, Kaixuan Tian’s innovations are paving the way for the next generation of cost-effective, spatially-aware autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A multi-sensor fusion approach for centimeter-level indoor 3D localization of wheeled robots
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Northeastern University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago