Solving a maze using computers is a complex though enticing task as one needs to come up
with an algorithm that is effective in terms of time withal space for finding the shortest path …

In robotics, autonomous movement is an important feature that enables the robot to move
independently from one location to another. Autonomous movement within an unknown …

Most of the traditional information-based unknown maze traversal techniques are based on
trial and error, which are time-consuming and may trap the robot in infinite loops or dead …

In many situations encountered in our daily lives where we have several options to choose
from, we need to balance the amount of planning into the future with the number of …

The use of graph theory for solving labyrinths and mazes is well known, understanding the
possible paths as the connections between the nodes that represent the corners or …

Advances in the development of collision-free path planning algorithms are the main need
not only to solve mazes with robotic systems, but also for their use in modern product …

Robot navigation gets a lot of attention today, and more and more scholars are trying to find
new ways to make robot's navigation more intelligent. Maze problem is a typical case of …

Robotic maze pathfinding problems deal with detecting the correct route from the start point
to the end-point in a virtual maze environment consisting of walls. Automated robot mobility …

Planning a path for a robot is considered to be a common problem in many real-life
applications. Path planning is constructing a path between two points considered to be the …

Balancing the exploration and exploitation in reinforcement learning is a commonly dilemma
and time-wasting work. In this paper, a novel exploration policy used in Q-Learning, called …