Wenfang Xie
Papers
65
Total Citations
1,100
H-Index
15
About
Wenfang Xie is a prominent robotics researcher whose work sits at the intersection of visual servoing, robot control systems, and industrial automation. With a body of research spanning over two decades, Xie has made foundational contributions to image-based visual servoing (IBVS), developing innovative controllers that address real-world challenges such as system constraints, model uncertainties, and trajectory planning for 6-DOF robotic manipulators. His 2018 work on dynamic path tracking using photogrammetry sensors—garnering 111 citations—demonstrates his ability to bridge theoretical control design with practical industrial deployment, enabling real-time correction of robot movement with high precision. His robust model predictive control framework for IBVS (97 citations) and the augmented acceleration-command controller (96 citations) have become widely referenced contributions to constrained robot control. More recently, Xie has expanded into force/vision cascade control and manipulability-based path planning, reflecting his evolving focus on robot-environment interaction and intelligent motion planning. His sustained citation impact across multiple research threads underscores his influence in shaping modern industrial robotics, making his work essential reading for researchers and students pursuing advanced robot perception and control.
Research Focus
Key Achievements
Top Papers
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- 5Image-Based Visual Servoing Using an Optimized Trajectory Planning Technique72 citations · 2016
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- 10Adaptive Switch Image-based Visual Servoing for Industrial Robots31 citations · 2019