Papers
2
Total Citations
9
H-Index
2
About
Yabin Xu is a researcher whose work spans the frontiers of robotics, computer vision, and soft robotics. A central contribution is their development of robust 3D scene reconstruction methods using consumer-level RGB-D cameras. Their highly cited 2021 paper, "Robust and Accurate RGB-D Reconstruction With Line Feature Constraints," addresses a critical challenge in robotics: maintaining high-quality camera tracking in geometrically featureless scenes or under poor lighting. By leveraging line feature constraints, this work significantly improves reconstruction accuracy and robustness, with 7 citations underscoring its impact on the vision and robotics communities. More recently, Xu has ventured into the emerging field of soft robotics, as demonstrated by their 2025 work on "Low-voltage driven ionic soft actuators based on AMPS-medicated bacterial cellulose nanofibers." This eco-friendly actuator design, achieving high performance at low voltage, holds promise for intelligent microrobots and flexible wearables. By bridging traditional geometric reconstruction with novel materials for actuation, Yabin Xu exemplifies a versatile researcher pushing the boundaries of both perception and actuation in robotics.
Research Focus
Key Achievements
Top Papers
- 1Robust and Accurate RGB-D Reconstruction With Line Feature Constraints7 citations · 2021
- 2