3D path planning of unmanned aerial vehicle (UAV) targets at finding an optimal and
collision free path in a 3D cluttered environment while taking into account the geometric …

In this paper, a review of Metaheuristic Optimization Techniques (MOT) which are currently
in use for optimization in a vast range of problems, is presented. MOT are known for their …

Abstract The three-dimensional (3D) path planning of unmanned robots focuses on avoiding
collisions with obstacles and finding an optimized path to the target location in a complex …

Planning a collision-free path in the least processing time and cost within constraints is a
central issue in designing an autonomous mobile robot (AMR). Nature-inspired swarm …

Based on a bio-heuristic algorithm, this paper proposes a novel path planner called obstacle
avoidance beetle antennae search (OABAS) algorithm, which is applied to the global path …

Unmanned aerial vehicles (UAVs) are a quintessential example of automation in the field of
avionics. UAVs provide a platform for performing a wide variety of tasks, but in each case the …

This paper proposes a novel decentralize and asynchronous robotic search algorithm based
on particle swarm optimization (PSO), which has focused on solving mazes and finding …

随着移动机器人应用领域的扩大和工作环境的复杂化, 传统路径规划算法因其自身局限性变得
难以满足人们的要求. 近年来, 智能仿生算法因其群集智慧和生物择优特性而被广泛应用于移动 …

The application of drones provides a powerful solution for “the last-mile” logistics services,
while the large-scale implementation of logistics drone services will threaten the safety of …

We propose a bio-inspired computing algorithm based on plant growth mechanism and
describe its application in path planning in this paper. The basic rules of the algorithm …