A review on the application of blockchain to the next generation of cybersecure industry 4.0 smart factories

TM Fernandez-Carames, P Fraga-Lamas - Ieee Access, 2019 - ieeexplore.ieee.org
Industry 4.0 is a concept devised for improving the way modern factories operate through the
use of some of the latest technologies, like the ones used for creating the Industrial Internet …

A review on human-centered IoT-connected smart labels for the industry 4.0

TM Fernández-Caramés, P Fraga-Lamas - IEEE access, 2018 - ieeexplore.ieee.org
One of the challenges of Industry 4.0 is the creation of vertical networks that connect smart
production systems with design teams, suppliers, and the front office. To achieve such a …

Decentralized control of multi-AGV systems in autonomous warehousing applications

I Draganjac, D Miklić, Z Kovačić… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
In this paper, we present an algorithm for decentralized control of multiple automated guided
vehicles performing transportation tasks within industrial and warehousing environments. By …

[HTML][HTML] Smart industrial iot monitoring and control system based on UAV and cloud computing applied to a concrete plant

M Salhaoui, A Guerrero-González, M Arioua, FJ Ortiz… - Sensors, 2019 - mdpi.com
Unmanned aerial vehicles (UAVs) are now considered one of the best remote sensing
techniques for gathering data over large areas. They are now being used in the industry …

Automatic grouping of production data in Industry 4.0: The use case of internal logistics systems based on Automated Guided Vehicles

T Steclik, R Cupek, M Drewniak - Journal of Computational Science, 2022 - Elsevier
Abstract Automated Guided Vehicles (AGVs) have become an indispensable component of
Flexible Manufacturing Systems. AGVs are also a huge source of information that can be …

[HTML][HTML] From data to actions in intelligent transportation systems: A prescription of functional requirements for model actionability

I Laña, JJ Sanchez-Medina, EI Vlahogianni, J Del Ser - Sensors, 2021 - mdpi.com
Advances in Data Science permeate every field of Transportation Science and Engineering,
resulting in developments in the transportation sector that are data-driven. Nowadays …

Highly-scalable traffic management of autonomous industrial transportation systems

I Draganjac, T Petrović, D Miklić, Z Kovačić… - Robotics and Computer …, 2020 - Elsevier
In this paper, we present a novel method for highly-scalable coordination of free-ranging
automated guided vehicles in industrial logistics and manufacturing scenarios. The primary …

The pan-robots project: Advanced automated guided vehicle systems for industrial logistics

L Sabattini, M Aikio, P Beinschob… - IEEE Robotics & …, 2017 - ieeexplore.ieee.org
In modern manufacturing plants, automation is widely adopted in the production phases,
which leads to a high level of productivity and efficiency. However, the same level of …

[HTML][HTML] Geometric backtracking for combined task and motion planning in robotic systems

J Bidot, L Karlsson, F Lagriffoul, A Saffiotti - Artificial Intelligence, 2017 - Elsevier
Planners for real robotic systems should not only reason about abstract actions, but also
about aspects related to physical execution such as kinematics and geometry. We present …

Spatial model predictive control for smooth and accurate steering of an autonomous truck

PF Lima, M Nilsson, M Trincavelli… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
In this paper, we present an algorithm for lateral control of a vehicle—a smooth and accurate
model predictive controller (MPC). The fundamental difference compared to a standard MPC …