Mobile robots can be integrated as an entity in the new paradigm of the Internet of Things
(IoT) and can be instrumental in extending sensing and manipulation capabilities to remote …

Abstract Internet of Things (IoT) devices are widely used but also vulnerable to cyberattacks
that can cause security issues. To protect against this, machine learning approaches have …

Multi-camera vision is widely used for guiding the machining robot to remove flash and burrs
on complex automotive castings and forgings with arbitrary initial posture. Aiming at the …

We propose an unsupervised vision-based system to estimate the joint configurations of the
robot arm from a sequence of RGB or RGB-D images without knowing the model a priori …

Abstract Selecting and optimizing Convolutional Neural Networks (CNNs) has become a
very complex task given the number of associated optimizable parameters, as well as the …

In the field of human-robot interaction, robot collision avoidance with the human in a shared
workspace remains a challenge. Many researchers use visual methods to detect the …

Introduction A hot cell is generally deployed with a teleoperation power manipulator to
complete tests, operations, and maintenance. The position and pose of the manipulator are …

A significant problem of using deep learning techniques is the limited amount of data
available for training. There are some datasets available for the popular problems like item …

Collaborative robots are becoming more common on factory floors as well as regular
environments, however, their safety still is not a fully solved issue. Collision detection does …

Robot pose estimation plays a fundamental role in various applications involving service
and industrial robots. Among the methods used for robot pose estimation from a single …