A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data

S Cebollada, L Payá, M Flores, A Peidró… - Expert Systems with …, 2021 - Elsevier
Nowadays, the field of mobile robotics has experienced an important evolution and these
robots are more commonly proposed to solve different tasks autonomously. The use of …

Heuristic approaches in robot path planning: A survey

TT Mac, C Copot, DT Tran, R De Keyser - Robotics and Autonomous …, 2016 - Elsevier
Autonomous navigation of a robot is a promising research domain due to its extensive
applications. The navigation consists of four essential requirements known as perception …

On the training of a neural network for online path planning with offline path planning algorithms

I Sung, B Choi, P Nielsen - International Journal of Information …, 2021 - Elsevier
One of the challenges in path planning for an automated vehicle is uncertainty in the
operational environment of the vehicle, demanding a quick but sophisticated control of the …

Neural networks based reinforcement learning for mobile robots obstacle avoidance

M Duguleana, G Mogan - Expert Systems with Applications, 2016 - Elsevier
This study proposes a new approach for solving the problem of autonomous movement of
robots in environments that contain both static and dynamic obstacles. The purpose of this …

Design of mobile robot navigation controller using neuro-fuzzy logic system

DK Mishra, A Thomas, J Kuruvilla… - Computers and …, 2022 - Elsevier
To be successful, autonomous navigation must overcome challenges associated with the
functions such as detecting perception, current location, planning, and regulating …

[HTML][HTML] A route network planning method for urban air delivery

X He, F He, L Li, L Zhang, G Xiao - Transportation Research Part E …, 2022 - Elsevier
High-tech giants and start-ups are investing in drone technologies to provide urban air
delivery service, which is expected to solve the last-mile problem and mitigate road traffic …

Towards machine learning for architectural fabrication in the age of industry 4.0

M Ramsgaard Thomsen, P Nicholas… - International …, 2020 - journals.sagepub.com
Machine Learning (ML) is opening new perspectives for architectural fabrication, as it holds
the potential for the profession to shortcut the currently tedious and costly setup of digital …

A neural network approach to navigation of a mobile robot and obstacle avoidance in dynamic and unknown environments

F Shamsfakhr, BS Bigham - Turkish Journal of Electrical …, 2017 - journals.tubitak.gov.tr
Mobile robot navigation and obstacle avoidance in dynamic and unknown environments is
one of the most challenging problems in the field of robotics. Considering that a robot must …

Performance comparison of fuzzy logic and neural network design for mobile robot navigation

HM Yudha, T Dewi, N Hasana, P Risma… - 2019 International …, 2019 - ieeexplore.ieee.org
The mobile robot is the type of robot that emerges not only in industry but also in the
domestic application, intended to substitute or assist human in a dull, dirty, or dangerous …

Hybrid IWD-DE: a novel approach to model cooperative navigation planning for multi-robot in unknown dynamic environment

DC Rao, MR Kabat, PK Das, PK Jena - Journal of Bionic Engineering, 2019 - Springer
The current study emphasizes inadequacies of earlier research findings on multi-robot
navigation and offers a robust approach to guide the robots in an unknown dynamic …