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

The objective of visual servoing aims to control an object's motion with visual feedbacks and
becomes popular recently. Problems of complex modeling and instability always exist in …

Robots still cannot perform everyday manipulation tasks, such as grasping, with the same
dexterity as humans do. In order to explore the potential of supervised deep learning for …

Visual servo control is one of the most important control strategies of robot system.
Uncalibrated visual servoing system reveals preferable flexibility and adaptability in …

This paper addresses the problem of autonomous servoing an unmanned redundant aerial
manipulator using computer vision. The overactuation of the system is exploited by means of …

In this work we present a reinforcement learning system for autonomous reaching and
grasping using visual servoing with a robotic arm. Control is realized in a visual feedback …

We consider the uncalibrated vision-based control problem of robotic manipulators in this
work. Though lots of approaches have been proposed to solve this problem, they usually …

Cloud Robotics is a paradigm where multiple robots are connected to cloud services via
Internet to access “unlimited” computation power, at the cost of network communication …

This paper presents an image-based servo control approach with a Kalman-neural-network
filtering scheme for robots manipulation in uncalibrated environment. The image Jacobian …

In image-based visual servoing (IBVS), parametric uncertainties tend to cause the model
inaccuracy and limit the control performance. Considering these uncertainties can be …