[HTML][HTML] Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda

G Fragapane, R De Koster, F Sgarbossa… - European journal of …, 2021 - Elsevier
Autonomous mobile robots (AMR) are currently being introduced in many intralogistics
operations, like manufacturing, warehousing, cross-docks, terminals, and hospitals. Their …

A survey of deep learning applications to autonomous vehicle control

S Kuutti, R Bowden, Y **, P Barber… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Designing a controller for autonomous vehicles capable of providing adequate performance
in all driving scenarios is challenging due to the highly complex environment and inability to …

Smart Working in Industry 4.0: How digital technologies enhance manufacturing workers' activities

J de Assis Dornelles, NF Ayala, AG Frank - Computers & Industrial …, 2022 - Elsevier
Prior studies have investigated the relationship between Industry 4.0 technologies and work.
This paper acknowledges the contributions of such studies and builds on their perspective to …

Automated guided vehicle systems, state-of-the-art control algorithms and techniques

M De Ryck, M Versteyhe, F Debrouwere - Journal of Manufacturing …, 2020 - Elsevier
Automated guided vehicles (AGVs) form a large and important part of the logistic transport
systems in today's industry. They are used on a large scale, especially in Europe, for over a …

A review of recent advances in automated guided vehicle technologies: Integration challenges and research areas for 5G-based smart manufacturing applications

EA Oyekanlu, AC Smith, WP Thomas, G Mulroy… - IEEE …, 2020 - ieeexplore.ieee.org
In industrial environments, over several decades, Automated Guided Vehicles (AGVs) and
Autonomous Mobile Robots (AMRs) have served to improve efficiencies of intralogistics and …

Deep reinforcement learning based control for Autonomous Vehicles in CARLA

Ó Pérez-Gil, R Barea, E López-Guillén… - Multimedia Tools and …, 2022 - Springer
Abstract Nowadays, Artificial Intelligence (AI) is growing by leaps and bounds in almost all
fields of technology, and Autonomous Vehicles (AV) research is one more of them. This …

Effective scheduling of multi-load automated guided vehicle in spinning mill: a case study

P Krishnamoorthy, N Satheesh, D Sudha… - Ieee …, 2023 - ieeexplore.ieee.org
In the Flexible Manufacturing System (FMS), where material processing is carried out in the
form of tasks from one department to another, the use of Automated Guided Vehicles (AGVs) …

[HTML][HTML] A matheuristic for AGV scheduling with battery constraints

N Singh, QV Dang, A Akcay, I Adan… - European Journal of …, 2022 - Elsevier
This paper considers the problem of scheduling automated guided vehicles (AGVs) with
battery constraints. Each transport request involves a soft time window, and the AGV fleet …

Autonomous visual navigation for mobile robots: A systematic literature review

YDV Yasuda, LEG Martins… - ACM Computing Surveys …, 2020 - dl.acm.org
Autonomous mobile robots are required to move throughout map the environment, locate
themselves, and plan paths between positions. Vision stands out among the other senses …

Robot-storage zone assignment strategies in mobile fulfillment systems

D Roy, S Nigam, R de Koster, I Adan… - … Research Part E: Logistics …, 2019 - Elsevier
The robotic mobile fulfillment system (MFS) is widely used for automating storage pick and
pack activities in e-commerce distribution centers. In this system, the items are stored on …