Papers
1
Total Citations
2
H-Index
1
About
Jiaqi Shen’s research focuses on advancing autonomous navigation and mapping, particularly for domestic service robots. Their most notable contribution is the development of TVSLAM, a topological-vector based SLAM algorithm designed for home cleaning robots. This work addresses the challenge of efficient, real-time mapping in constrained indoor environments by combining topological graph representations with vector-based localization, reducing computational overhead while maintaining accuracy. Though TVSLAM has garnered modest citation impact, it represents a practical step toward more reliable and cost-effective consumer robotics. Shen’s work is distinguished by its emphasis on algorithmic efficiency and real-world deployment, bridging the gap between theoretical SLAM research and commercial applications. Their contributions are especially relevant for researchers and engineers working on embedded systems, low-power navigation, and household robotics. By focusing on a specific, high-impact use case, Shen demonstrates how targeted algorithmic innovations can enable smarter, more autonomous home devices.
Research Focus
Key Achievements
Top Papers
- 1