In the Motion Planning research field, heuristic methods have demonstrated to outperform
classical approaches gaining popularity in the last 35 years. Several ideas have been …

Planning of optimal/shortest path is required for proper operation of unmanned ground
vehicles (UGVs). Although most of the existing approaches provide proper path planning …

Path planning can be described as a NP-complete problem having various practical
applications, as no polynomial time algorithm is capable of solving the problem available …

Planning of the shortest/optimal route is essential for efficient operation of autonomous
mobile robot or vehicle. In this paper Invasive Weed Optimization (IWO), a new meta …

Optimal path planning is required in autonomous navigation and intelligent control of the
unmanned aerial vehicle (UAV). However, as a kind of common obstacles in complex three …

In real-world applications such as rescue robots, service robots, mobile mining robots, and
mine searching robots, an autonomous mobile robot needs to reach multiple targets with the …

This paper presents the navigation software called Ant Colony Test Center designed to
teach the different stages involved in mobile robotics. The navigation problem consists of the …

A mobile robot is an autonomous agent, capable of planning the path from source to
destination in both, a known, or an unknown environment. In this paper, we presented a …

In this work, a method for finding the optimal path from an initial point to a final one in a
previously defined static search map is presented, based on Ant Colony Optimization Meta …

In this article a new optimal path planner for mobile robot navigation based on invasive
weed optimization (IWO) algorithm has been addressed. This ecologically inspired algorithm …