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 …

Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft
computing. This field includes multiple optimization algorithms to solve NP-hard problems …

This paper proposed a new methodology to determine the optimal trajectory of the path for
multi-robot in a clutter environment using hybridization of improved particle swarm …

As a challenging optimization problem, path planning for mobile robot refers to searching an
optimal or near-optimal path under different types of constrains in complex environments. In …

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 …

This work offers an overview of the effective communication techniques for space
exploration of ground, aerial, and underwater vehicles. We not only comprehensively …

An automated warehouse system contains a number of materials, workstations, and multiple
Automated Guided Vehicles (AGVs). The automated warehouse is server-controlled. This …

In this paper, a new approach is presented for getting a solution of the mobile robot path
planning problem based on Adaptive Particle Swarm Optimization (APSO). The proposed …

This paper proposed a novel approach to determine the optimal trajectory of the path for
multi-robots in a clutter environment using hybridization of improved particle swarm …

Global path planning of mobile robot in a static environment is one of the most important
problems in the field of mobile robot. Biogeography-based Optimization (BBO) is a relative …