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

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Robust and Accurate RGB-D Reconstruction With Line Feature Constraints
7 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Nanjing University of Aeronautics and Astronautics, Zhejiang Sci-Tech University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago