Cloud computing has become integral lately due to the ever-expanding Internet-of-things
(IoT) network. It still is and continues to be the best practice for implementing complex …

Recent advances in unmanned aerial vehicles (UAVs), or drones, have made them able to
communicate and collaborate, forming flying ad hoc networks (FANETs). FANETs are …

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 …

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 …

Knowledge representation in autonomous robots with social roles has steadily gained
importance through their supportive task assistance in domestic, hospital, and industrial …

Intuitive interaction is the cornerstone of accurate and effective performance in remote
robotic teleoperation. It requires high-fidelity in control actions as well as perception (vision …

With the rapid growth of Internet of Everything, there is a huge rise in the transportable
Internet traffic due to which its associated resources have exceptional obstacles which …

Abstract Deep Reinforcement Learning (DRL) is a promising Machine Learning technique
that enables robotic systems to efficiently learn high dimensional control policies. However …

This paper addresses a challenging problem to achieve energy-saving autonomous homing
to the desired target for a parafoil/rocket system with high-altitude. The system is subject to …

Nowadays, the development of smart cities boosts the development of innovative IT
technologies based on Artificial Intelligence (AI), such as intelligent agents (IA), which …