Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering

J Zhang, X Yang, W Wang, J Guan, L Ding… - Automation in …, 2023 - Elsevier
Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) have been
widely used recently to solve various engineering problems in logistics, manufacturing, and …

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 …

[HTML][HTML] Optimization of energy consumption in industrial robots, a review

M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier
Optimization of energy consumption in industrial robots can reduce operating costs, improve
performance and increase the lifespan of the robot during part manufacturing. Choosing …

Airport AGV path optimization model based on ant colony algorithm to optimize Dijkstra algorithm in urban systems

Y Zhou, N Huang - Sustainable Computing: Informatics and Systems, 2022 - Elsevier
Nowadays, with the rapid development of intelligent logistics and Automated Guided
Vehicles (AGV), the application scenario areas of AGVs are becoming more and more …

A survey on navigation approaches for automated guided vehicle robots in dynamic surrounding

M Aizat, A Azmin, W Rahiman - IEEE Access, 2023 - ieeexplore.ieee.org
Automated Guided Vehicles (AGV) have received a lot of attention in recent years in terms of
both hardware and software research. Nowadays, the AGV offers more adaptable and …

A bi-level path planning algorithm for multi-AGV routing problem

Z Yuan, Z Yang, L Lv, Y Shi - Electronics, 2020 - mdpi.com
Avoiding the multi-automated guided vehicle (AGV) path conflicts is of importance for the
efficiency of the AGV system, and we propose a bi-level path planning algorithm to optimize …

Hierarchical motion planning and tracking for autonomous vehicles using global heuristic based potential field and reinforcement learning based predictive control

G Du, Y Zou, X Zhang, Z Li, Q Liu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The autonomous vehicle is widely applied in various ground operations, in which motion
planning and tracking control are becoming the key technologies to achieve autonomous …

Designs of particle-swarm-optimization-based intelligent PID controllers and DC/DC Buck converters for PEM fuel-cell-powered four-wheeled automated guided …

MH Demir, M Demirok - Applied Sciences, 2023 - mdpi.com
For automatic guided vehicles (AGVs), maximizing the operating time with maximum energy
efficiency is the most important factor that increases work efficiency. In this study, the fuel-cell …

Modeling the electrical power and energy consumption of automated guided vehicles to improve the energy efficiency of production systems

M Meißner, L Massalski - The International Journal of Advanced …, 2020 - Springer
Due to the advancing energy system transformation and the increasingly complex and
dynamic environment in which factories have to operate, the energy efficiency and flexible …

Path planning of cleaning robot with reinforcement learning

W Moon, B Park, SH Nengroo, T Kim… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Recently, as the demand for cleaning robots has steadily increased, therefore household
electricity consumption is also increasing. To solve this electricity consumption issue, the …