[HTML][HTML] A review: On path planning strategies for navigation of mobile robot

BK Patle, A Pandey, DRK Parhi, A Jagadeesh - Defence Technology, 2019 - Elsevier
This paper presents the rigorous study of mobile robot navigation techniques used so far.
The step by step investigations of classical and reactive approaches are made here to …

[HTML][HTML] A systematic review on recent advances in autonomous mobile robot navigation

A Loganathan, NS Ahmad - Engineering Science and Technology, an …, 2023 - Elsevier
Recent years have seen a dramatic rise in the popularity of autonomous mobile robots
(AMRs) due to their practicality and potential uses in the modern world. Path planning is …

Optimal path planning for drones based on swarm intelligence algorithm

RA Saeed, M Omri, S Abdel-Khalek, ES Ali… - Neural Computing and …, 2022 - Springer
Recently, Drones and UAV research were becoming one of the interest topics for academia
and industry, where it has been extensively addressed in the literature back the few years …

[HTML][HTML] A modified sparrow search algorithm with application in 3d route planning for UAV

G Liu, C Shu, Z Liang, B Peng, L Cheng - Sensors, 2021 - mdpi.com
The unmanned aerial vehicle (UAV) route planning problem mainly centralizes on the
process of calculating the best route between the departure point and target point as well as …

Grey wolf optimizer for unmanned combat aerial vehicle path planning

S Zhang, Y Zhou, Z Li, W Pan - Advances in Engineering Software, 2016 - Elsevier
Unmanned combat aerial vehicle (UCAV) path planning is a fairly complicated global
optimum problem, which aims to obtain an optimal or near-optimal flight route with the …

Modified continuous ant colony optimisation for multiple unmanned ground vehicle path planning

J Liu, S Anavatti, M Garratt, HA Abbass - Expert Systems with Applications, 2022 - Elsevier
Path planning for multiple Unmanned Ground Vehicles (UGVs) is a critical problem for UGV
autonomy and is increasingly attracting attention due to its wide applications. This paper …

Improved artificial bee colony algorithm-based path planning of unmanned autonomous helicopter using multi-strategy evolutionary learning

Z Han, M Chen, S Shao, Q Wu - Aerospace Science and Technology, 2022 - Elsevier
Aiming at producing a high-quality flight path for the unmanned autonomous helicopter with
multi-constraints, a path planning method is proposed based on the multi-strategy …

A review on path planning and obstacle avoidance algorithms for autonomous mobile robots

ANA Rafai, N Adzhar, NI Jaini - Journal of Robotics, 2022 - Wiley Online Library
Mobile robots have been widely used in various sectors in the last decade. A mobile robot
could autonomously navigate in any environment, both static and dynamic. As a result …

A hybrid differential evolution algorithm and its application in unmanned combat aerial vehicle path planning

JS Pan, N Liu, SC Chu - IEEE Access, 2020 - ieeexplore.ieee.org
CIPDE and JADE are two powerful and effective Differential Evolution (DE) algorithms with
strong exploration and exploitation capabilities. In order to take advantage of these two …

A survey on population-based meta-heuristic algorithms for motion planning of aircraft

Y Wu - Swarm and Evolutionary Computation, 2021 - Elsevier
Meta-heuristic algorithms have turned out to be good methods to address optimization
problems with complicated constraints, and those algorithms have been widely applied to …