Review of autonomous path planning algorithms for mobile robots

H Qin, S Shao, T Wang, X Yu, Y Jiang, Z Cao - Drones, 2023 - mdpi.com
Mobile robots, including ground robots, underwater robots, and unmanned aerial vehicles,
play an increasingly important role in people's work and lives. Path planning and obstacle …

Autonomous unmanned aerial vehicle navigation using reinforcement learning: A systematic review

F AlMahamid, K Grolinger - Engineering Applications of Artificial …, 2022 - Elsevier
There is an increasing demand for using Unmanned Aerial Vehicle (UAV), known as drones,
in different applications such as packages delivery, traffic monitoring, search and rescue …

Explainable Deep Reinforcement Learning for UAV autonomous path planning

L He, N Aouf, B Song - Aerospace science and technology, 2021 - Elsevier
Autonomous navigation in unknown environment is still a hard problem for small Unmanned
Aerial Vehicles (UAVs). Recently, some neural network-based methods are proposed to …

Deep reinforcement learning-based air combat maneuver decision-making: literature review, implementation tutorial and future direction

X Wang, Y Wang, X Su, L Wang, C Lu, H Peng… - Artificial Intelligence …, 2024 - Springer
Nowadays, various innovative air combat paradigms that rely on unmanned aerial vehicles
(UAVs), ie, UAV swarm and UAV-manned aircraft cooperation, have received great attention …

[HTML][HTML] A newly bio-inspired path planning algorithm for autonomous obstacle avoidance of UAV

Z Yaoming, SU Yu, XIE Anhuan, K Lingyu - Chinese Journal of Aeronautics, 2021 - Elsevier
In this paper, a bio-inspired path planning algorithm in 3D space is proposed. The algorithm
imitates the basic mechanisms of plant growth, including phototropism, negative geotropism …

Adaptive path planning for fusing rapidly exploring random trees and deep reinforcement learning in an agriculture dynamic environment UAVs

GGR Castro, GS Berger, A Cantieri, M Teixeira, J Lima… - Agriculture, 2023 - mdpi.com
Unmanned aerial vehicles (UAV) are a suitable solution for monitoring growing cultures due
to the possibility of covering a large area and the necessity of periodic monitoring. In …

Anti-collision technologies for unmanned aerial vehicles: Recent advances and future trends

Z Wei, Z Meng, M Lai, H Wu, J Han… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are widely applied in civil applications, such as disaster
relief, agriculture and cargo transportation, and so on. With the massive number of UAV flight …

[HTML][HTML] AUV obstacle avoidance planning based on deep reinforcement learning

J Yuan, H Wang, H Zhang, C Lin, D Yu, C Li - Journal of Marine Science …, 2021 - mdpi.com
In a complex underwater environment, finding a viable, collision-free path for an
autonomous underwater vehicle (AUV) is a challenging task. The purpose of this paper is to …

Automatic domain-specific soc design for autonomous unmanned aerial vehicles

S Krishnan, Z Wan, K Bhardwaj… - 2022 55th IEEE/ACM …, 2022 - ieeexplore.ieee.org
Building domain-specific accelerators is becoming increasingly paramount to meet the high-
performance requirements under stringent power and real-time constraints. However …

[HTML][HTML] Relevant experience learning: A deep reinforcement learning method for UAV autonomous motion planning in complex unknown environments

HU Zijian, GAO Xiaoguang, WAN Kaifang… - Chinese Journal of …, 2021 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) play a vital role in military warfare. In a variety of
battlefield mission scenarios, UAVs are required to safely fly to designated locations without …