Recent advancements in deep learning applications and methods for autonomous navigation: A comprehensive review
AA Golroudbari, MH Sabour - arXiv preprint arXiv:2302.11089, 2023 - arxiv.org
This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …
major functions in This review paper presents a comprehensive overview of end-to-end …
A comprehensive review on autonomous navigation
The field of autonomous mobile robots has undergone dramatic advancements over the past
decades. Despite achieving important milestones, several challenges are yet to be …
decades. Despite achieving important milestones, several challenges are yet to be …
Comparative study for deep reinforcement learning with CNN, RNN, and LSTM in autonomous navigation
TAN Ziya, M KARAKOSE - … on Data Analytics for Business and …, 2020 - ieeexplore.ieee.org
Reinforcement learning algorithms are one of the popular machine learning methods in
recent years. Unlike deep learning (DL) algorithms, it does not require a data set during the …
recent years. Unlike deep learning (DL) algorithms, it does not require a data set during the …
A review of deep learning methods and applications for unmanned aerial vehicles
Deep learning is recently showing outstanding results for solving a wide variety of robotic
tasks in the areas of perception, planning, localization, and control. Its excellent capabilities …
tasks in the areas of perception, planning, localization, and control. Its excellent capabilities …
Motion planning and control for mobile robot navigation using machine learning: a survey
Moving in complex environments is an essential capability of intelligent mobile robots.
Decades of research and engineering have been dedicated to developing sophisticated …
Decades of research and engineering have been dedicated to developing sophisticated …
Deep learning for visual navigation of unmanned ground vehicles: A review
N O'Mahony, S Campbell, L Krpalkova… - 2018 29th Irish …, 2018 - ieeexplore.ieee.org
The capabilities that Artificial Intelligence and Computer Vision can provide to intelligent
robotic systems is well recognized and as a result it is the subject of topical research in …
robotic systems is well recognized and as a result it is the subject of topical research in …
An open source and open hardware deep learning-powered visual navigation engine for autonomous nano-uavs
Nano-size unmanned aerial vehicles (UAVs), with few centimeters of diameter and sub-10
Watts of total power budget, have so far been considered incapable of running sophisticated …
Watts of total power budget, have so far been considered incapable of running sophisticated …
Deep learning for vision-based navigation in autonomous drone racing
Long-term autonomy is of great importance in various real-world applications of aerial
robotics, including, but not limited to, search and rescue missions in underground mines …
robotics, including, but not limited to, search and rescue missions in underground mines …
Arena-rosnav: Towards deployment of deep-reinforcement-learning-based obstacle avoidance into conventional autonomous navigation systems
Recently, mobile robots have become important tools in various industries, especially in
logistics. Deep reinforcement learning emerged as an alternative planning method to …
logistics. Deep reinforcement learning emerged as an alternative planning method to …
A hierarchical deep reinforcement learning framework with high efficiency and generalization for fast and safe navigation
W Zhu, M Hayashibe - IEEE Transactions on industrial …, 2022 - ieeexplore.ieee.org
We present a hierarchical deep reinforcement learning (DRL) framework with prominent
sampling efficiency and sim-to-real transfer ability for fast and safe navigation: the low-level …
sampling efficiency and sim-to-real transfer ability for fast and safe navigation: the low-level …