Abstract The Vision Guided Robotic systems (VGR) is an essential aspect of modern
intelligent robotics. The VGR is rapidly transforming manufacturing processes by enabling …

A resilient adaptive tracking control scheme for uncalibrated visual servoing system with
unknown actuator failures is proposed, where the camera parameters, the robotic physical …

Neural networks have been widely investigated for the control of robot manipulators and
recurrent neural network (RNN) is accepted as a powerful tool for visual servoing. Different …

In recent years, with the development of machine vision and other relative techniques, visual
servoing control of robotics has been wildly applied. A complex calibration process is …

This paper focuses on the problem of visual tracking of a moving target with the temporary
occlusion of image feature, a dynamic visual tracking control system for robot manipulator is …

To track moving targets undergoing unknown translational and rotational motions, a tracking
controller is developed for unmanned aerial vehicles (UAVs). The main challenges are to …

Depth, proximity, and tactile sensors are often used in robotic object manipulation. The three
types of sensors are combined to address each sensor limitation: Depth use is limited by …

Image-based visual servoing (IBVS) scheme has become popular due to its advantages
such as robustness to camera calibration errors and enabling direct control over the image …

This study introduces a novel robust adaptive repetitive learning controller (RARLC)
designed for periodic tasks in vision-based robot systems. The controller eliminates the …

A novel model predictive control scheme for constrained visual servoing is developed. The
proposed method compensates the shortcomings of available MPC schemes in visual …