This paper reviews the major contributions to the Motion Planning (MP) field throughout a 35-
year period, from classic approaches to heuristic algorithms. Due to the NP-Hardness of the …

A new optimization algorithm called multi-frequency vibrational genetic algorithm (mVGA)
that can be used to solve the path planning problems of autonomous unmanned aerial …

The artificial potential field (APF) approach provides a simple and effective motion planning
method for practical purpose. However, artificial potential field approach has a major …

Path planning is a propitious research domain with extensive application areas. It is the
procedure to construct a collision-free path from specified source to destination point …

While the robot is in motion, path planning should follow the three aspects:(1) acquire the
knowledge from its environmental conditions.(2) determine its position in the environment …

This paper proposes a new approach using improved particle swarm optimization (PSO) to
optimize the path of a mobile robot through an environment containing static obstacles …

Path planning for mobile agents is one of the areas that has drawn the attention of
researchers', as evidenced in the large number of papers related to the collision-free path …

The shortest/optimal path planning is essential for efficient operation of autonomous vehicle.
In this paper a cuckoo search based approach has been implemented for mobile robot …

This paper addresses the development of a set of novel autonomous control laws for the
navigation of multiple mini or micro quadrotors in a workspace populated with cylindrical …

Navigation of mobile robots remains one of the most challenging functions to carry out.
Potential Field Method (PFM) is rapidly gaining popularity in navigation and obstacle …