With the advent of Industry 4.0, several cutting-edge technologies such as cyber-physical
systems, digital twins, IoT, robots, big data, cloud computation have emerged. However, how …

This review provides a comprehensive overview of the state-of-the-art methods of graph-
based networks from a deep learning perspective. Graph networks provide a generalized …

Mobile robots have an important role in material handling in manufacturing and can be used
for a variety of automated tasks. The accuracy of the robot's moving trajectory has become a …

The evolution of production systems has established major challenges in internal logistics.
In order to overcome these challenges, new automation solutions have been developed and …

Local path planning considering static and dynamic obstacles for a mobile robot is one of
challenging research topics. Conventional local path planning methods generate path …

The need to improve motion planning techniques for manipulator robots, and new effective
strategies to manipulate different objects to perform more complex tasks, is crucial for …

Scan positioning for documenting the geometry of an existing building still relies on the
experience of an expert surveyor. Therefore, it is important to utilize optimal scan positioning …

The research of mobile robot path planning has shifted from the static environment to the
dynamic environment, from the two-dimensional environment to the high-dimensional …

With growth in the use of autonomous Unmanned Ground Vehicle (UGV) for automated data
collection from construction projects, the problem of inter-disciplinary semantic data sharing …

The most well-known research on driverless vehicles at the moment is connected
autonomous vehicles (CAVs), which reflects the future path for the self driving field. The …