A state-of-the-art analysis of obstacle avoidance methods from the perspective of an agricultural sprayer UAV's operation scenario

S Ahmed, B Qiu, F Ahmad, CW Kong, H Xin - Agronomy, 2021 - mdpi.com
Over the last decade, Unmanned Aerial Vehicles (UAVs), also known as drones, have been
broadly utilized in various agricultural fields, such as crop management, crop monitoring …

Obstacle avoidance of mobile robots using modified artificial potential field algorithm

SMH Rostami, AK Sangaiah, J Wang, X Liu - EURASIP Journal on …, 2019 - Springer
In recent years, topics related to robotics have become one of the researching fields. In the
meantime, intelligent mobile robots have great acceptance, but the control and navigation of …

Overview of path-planning and obstacle avoidance algorithms for UAVs: A comparative study

M Radmanesh, M Kumar, PH Guentert… - Unmanned systems, 2018 - World Scientific
Unmanned aerial vehicles (UAVs) have recently attracted the attention of researchers due to
their numerous potential civilian applications. However, current robot navigation …

Autonomous path planning with obstacle avoidance for smart assistive systems

C Ntakolia, S Moustakidis, A Siouras - Expert Systems with Applications, 2023 - Elsevier
Given the increased interest in smart assistive technologies and autonomous robot vehicles,
path planning has emerged as one of the most researched and challenging topics in …

Control strategies for mobile robot with obstacle avoidance

M Zohaib, M Pasha, RA Riaz, N Javaid, M Ilahi… - arXiv preprint arXiv …, 2013 - arxiv.org
Obstacle avoidance is an important task in the field of robotics, since the goal of autonomous
robot is to reach the destination without collision. Several algorithms have been proposed …

A fully autonomous terrestrial bat-like acoustic robot

I Eliakim, Z Cohen, G Kosa, Y Yovel - PLoS computational biology, 2018 - journals.plos.org
Echolocating bats rely on active sound emission (echolocation) for mapping novel
environments and navigating through them. Many theoretical frameworks have been …

Trajectory planning and collision avoidance algorithm for mobile robotics system

MM Almasri, AM Alajlan, KM Elleithy - IEEE Sensors journal, 2016 - ieeexplore.ieee.org
The field of autonomous mobile robotics has recently gained many researchers' interests.
Due to the specific needs required by various applications of mobile robot systems …

Position control of a mobile robot through deep reinforcement learning

F Quiroga, G Hermosilla, G Farias, E Fabregas… - Applied Sciences, 2022 - mdpi.com
This article proposes the use of reinforcement learning (RL) algorithms to control the
position of a simulated Kephera IV mobile robot in a virtual environment. The simulated …

Optimal multivehicle motion planning using bernstein approximants

V Cichella, I Kaminer, C Walton… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
This article presents a computational framework to efficiently generate feasible and safe
trajectories for multiple autonomous vehicle operations. We formulate the optimal motion …

Homotopy path planning for terrestrial robots using spherical algorithm

G Diaz-Arango, H Vázquez-Leal… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Autonomous and semiautonomous mobile robots play an important role in making tasks in
environments considered hostile or dangerous for a human being. In order to execute many …