Tuoxi Li
Papers
1
Total Citations
16
H-Index
1
About
Tuoxi Li is a researcher advancing the field of mobile robotics, with a primary focus on robust localization and autonomous navigation in complex indoor environments. His work addresses critical challenges in robot perception, particularly the limitations of traditional image-based localization methods that falter under dynamic conditions, changing illumination, or large viewpoint shifts. Li’s most cited paper, "Graph-Based Robust Localization of Object-Level Map for Mobile Robotic Navigation" (2023, 16 citations), introduces an innovative graph-based framework that leverages object-level mapping to enhance localization accuracy and computational efficiency, outperforming conventional 3-D point cloud approaches. This contribution is pivotal for enabling reliable robot navigation in real-world settings, such as warehouses or hospitals, where environmental variability is high. By shifting focus from pixel-level to object-level representation, Li’s work not only improves robustness but also reduces computational overhead, making it practical for real-time applications. His research bridges the gap between theoretical mapping algorithms and practical deployment, earning recognition for its potential to transform how robots perceive and navigate dynamic spaces.
Research Focus
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Top Papers
- 1