Yuanying Qiu
Papers
19
Total Citations
308
H-Index
11
About
Yuanying Qiu is a versatile robotics and computer vision researcher whose work spans two richly interconnected domains: cable-driven parallel robotic systems and visual perception for autonomous navigation. In the field of cable robotics, Qiu has made foundational contributions to the design, calibration, and control of cable-driven parallel manipulators (CDPMs), particularly high-speed camera robots used in aerial panoramic photography. His studies on optimal cable tension distribution, minimum cable tensions, stability analysis, and the cable pseudo-drag problem have collectively advanced the practical deployment of large-span, high-speed CDPMs, garnering over 130 citations across these works alone. More recently, Qiu has emerged as a compelling contributor to visual place recognition (VPR), a critical capability for robot localization. His hybrid CNN-Transformer framework (2022, 66 citations) demonstrated that integrating convolutional and attention-based architectures significantly improves robustness to appearance and viewpoint changes, while his loop closure detection work creatively fuses visual, spatial, and semantic cues for more reliable SLAM. Together, these contributions reflect a research trajectory that bridges precise mechanical control with intelligent scene understanding, offering meaningful advances for the future of autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Hybrid CNN-Transformer Features for Visual Place Recognition66 citations · 2022
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- 6On the Minimum Cable Tensions for the Cable-Based Parallel Robots23 citations · 2014
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