W.J. Wilson
Papers
22
Total Citations
1,282
H-Index
12
About
W.J. Wilson is a pioneering figure in robot visual servoing, whose work has fundamentally shaped how robots use vision to interact with their environments. His primary research areas include position-based visual servoing, Kalman filter estimation for robot control, and hybrid motion control strategies. Wilson's most influential contribution is his 1996 paper on "Relative end-effector control using Cartesian position based visual servoing," which has garnered 621 citations and established a complete design methodology for single-camera, end-effector-mounted systems. He is also renowned for his systematic comparisons of image-based and position-based visual servoing methods (188 citations), providing critical insights into system stability, robustness, and dynamic performance. Wilson pioneered the use of Kalman filters for real-time 3D pose estimation from vision measurements, enabling precise tracking of moving objects. His hybrid control strategies (109 citations) elegantly address persistent challenges like image singularities and local minima. With a total of over 1,100 citations across his top works, Wilson's research has been instrumental in advancing robotic grasping, dynamic control, and autonomous manipulation, making him a foundational reference for students and researchers in visual servo control.
Research Focus
Key Achievements
Top Papers
- 1Relative end-effector control using Cartesian position based visual servoing621 citations · 1996
- 2Comparison of Basic Visual Servoing Methods188 citations · 2010
- 3Hybrid Motion Control and Planning Strategies for Visual Servoing109 citations · 2005
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- 9Automatic grasp planning for visual-servo controlled robotic manipulators24 citations · 1998
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