An Overview of Nature‐Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

BBK Ayawli, R Chellali, AY Appiah… - Journal of Advanced …, 2018 - Wiley Online Library
Safe and smooth mobile robot navigation through cluttered environment from the initial
position to goal with optimal path is required to achieve intelligent autonomous ground …

Trajectory planning for a 6-axis robotic arm with particle swarm optimization algorithm

Ö Ekrem, B Aksoy - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Robotic arms, which are favored for usage in both large-and small-scale industrial regions,
run into issues with numerous limits between the starting and ending locations in the …

Path planning for mobile robots using bacterial potential field for avoiding static and dynamic obstacles

O Montiel, U Orozco-Rosas, R Sepúlveda - Expert Systems with …, 2015 - Elsevier
In this paper, optimal paths in environments with static and dynamic obstacles for a mobile
robot (MR) are computed using a new method for path planning. The proposed method …

Enhanced ant colony algorithm with communication mechanism for mobile robot path planning

W Hou, Z Xiong, C Wang, H Chen - Robotics and Autonomous Systems, 2022 - Elsevier
In mobile robot path planning, the ant colony algorithm has the problem that the historical
paths explored by ants cannot be fully utilized. With this in mind, in this paper an enhanced …

Optimal path planning generation for mobile robots using parallel evolutionary artificial potential field

O Montiel, R Sepúlveda, U Orozco-Rosas - Journal of Intelligent & Robotic …, 2015 - Springer
In this paper, we introduce the concept of Parallel Evolutionary Artificial Potential Field
(PEAPF) as a new method for path planning in mobile robot navigation. The main …

Tangent navigated robot path planning strategy using particle swarm optimized artificial potential field

Z Zhou, J Wang, Z Zhu, D Yang, J Wu - Optik, 2018 - Elsevier
Artificial potential field has long been proposed in the field of robot path planning. But the
well-known drawbacks like local minimal problem and low efficiency prevent its wide …

Mobile robot path planning using ant colony algorithm and improved potential field method

G Chen, J Liu - Computational intelligence and neuroscience, 2019 - Wiley Online Library
For the problem of mobile robot's path planning under the known environment, a path
planning method of mixed artificial potential field (APF) and ant colony optimization (ACO) …

Path planning techniques for mobile robots: A review

PK Mohanty, AK Singh, A Kumar, MK Mahto… - … Conference on Soft …, 2021 - Springer
Planning of desired path direction for mobile robots is the art of finding a suitable and
efficient path without any collision. It may be classified based on the nature of obstacles …

Dynamic path planning based on neural networks for aerial inspection

GGR de Castro, MF Pinto, IZ Biundini, AG Melo… - Journal of Control …, 2023 - Springer
Abstract Unmanned Aerial Vehicles are a suitable solution to automate inspections on large
structures that require periodic monitoring once this process could be complex and highly …

A new efficient optimal path planner for mobile robot based on Invasive Weed Optimization algorithm

PK Mohanty, DR Parhi - Frontiers of Mechanical Engineering, 2014 - Springer
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 …