We review more than 200 applications of neural networks in image processing and discuss
the present and possible future role of neural networks, especially feed-forward neural …

This article is the second of a two-part tutorial on visual servo control. In this tutorial, we have
only considered velocity controllers. It is convenient for most of classical robot arms …

In this paper, we determine the analytical form of the interaction matrix related to any
moment that can be computed from segmented images. The derivation method we present …

We present a deep neural network-based method to perform high-precision, robust and real-
time 6 DOF positioning tasks by visual servoing. A convolutional neural network is fine-tuned …

Computer vision, together with bayesian estimation algorithms, sensors, and actuators, are
used in robotics to solve a variety of critical tasks such as localization, obstacle avoidance …

The technology of visual servoing, with the digital twin as its driving force, holds great
promise and advantages for enhancing the flexibility and efficiency of smart manufacturing …

Background In the continuous world view, images are modeled as functions on a domain⊂
Rn. Geometric entities like curves and surfaces are manifolds, which can be described as …

Independence between individual classifiers is typically viewed as an asset in classifier
fusion. We study the limits on the majority vote accuracy when combining dependent …

Study of nervous systems via the connectome, the map of connectivities of all neurons in that
system, is a challenging problem in neuroscience. Towards this goal, neurobiologists are …

Most vision-based robot positioning techniques rely on analytical formulations of the
relationship between the robot pose and the projected image coordinates of several …