Providing mobile robots with autonomous capabilities is advantageous. It allows one to
dispense with the intervention of human operators, which may prove beneficial in economic …

This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …

Good path planning technology of mobile robot can not only save a lot of time, but also
reduce the wear and capital investment of mobile robot. Several methodologies have been …

Path planning and navigation is a very important problem in robotics, especially for mobile
robots operating in complex environments. Sampling based planners such as the …

In this paper, optimal paths in environments with static and dynamic obstacles for a mobile
robot (MR) are computed using a new method for path planning. The proposed method …

Mobile robots are increasingly used in automated industrial environments. There are also
other applications like planet exploration, surveillance, landmine detection, etc. In all these …

The aim of this work is to integrate and analyze the performance of a path planning method
based on Time Elastic Bands (TEB) in real research platform based on Ackermann model …

In recent years, a large number of manipulator robots have been deployed to replace or
assist humans in many repetitive and dangerous tasks. Yet, these robots have complex …

This paper presents a modified potential field method for mobile robots and intelligent
vehicles local navigation. The approach overcomes the well-known artificial potential field …

This study proposes a new approach for solving the problem of autonomous movement of
robots in environments that contain both static and dynamic obstacles. The purpose of this …