Model-based object pose in 25 lines of code
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Fuzzy Modeling for Control
Designing fuzzy inference systems from data: An interpretability-oriented review
IEEE Transactions on Fuzzy Systems
Evolving Fuzzy Modeling of an Uncalibrated Visual Servoing System
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
PLG-Based Visual Tracing for Eye-in-Hand Puma 560 Robot
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Intelligent real-time fabric defect detection
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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In this paper, inverse fuzzy models for uncalibrated visual servoing, in 3D Workspace, are developed and validated in a six degrees of freedom robotic manipulator. This approach does not require calibrated kinematic and camera models, as needed in classical visual servoing to obtain the Jacobian. Fuzzy modeling is used to identify the inverse Jacobian in the robot workspace. Robot control is achieved by means of using the inverse fuzzy models directly as the controller. Experimental results obtained in a PUMA robot performing eye-to-hand visual servoing demonstrate the validity of the approach.