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A survey on navigation approaches for automated guided vehicle robots in dynamic surrounding
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 …
both hardware and software research. Nowadays, the AGV offers more adaptable and …
A comprehensive review of recent advances in automated guided vehicle technologies: Dynamic obstacle avoidance in complex environment toward autonomous …
Automated guided vehicles (AGVs) have recently acquired a lot of interest in the academic
research field and industry applications due to a variety of advantages, including increased …
research field and industry applications due to a variety of advantages, including increased …
AI-empowered speed extraction via port-like videos for vehicular trajectory analysis
Automated container terminal (ACT) is considered as port industry development direction,
and accurate kinematic data (speed, volume, etc.) is essential for enhancing ACT operation …
and accurate kinematic data (speed, volume, etc.) is essential for enhancing ACT operation …
[HTML][HTML] Deep reinforcement learning based optimization of automated guided vehicle time and energy consumption in a container terminal
The energy efficiency of port container terminal equipment and the reduction of CO 2
emissions are among one of the biggest challenges facing every seaport in the world. The …
emissions are among one of the biggest challenges facing every seaport in the world. The …
Optimal navigation for AGVs: A soft actor–critic-based reinforcement learning approach with composite auxiliary rewards
H Guo, Z Ren, J Lai, Z Wu, S **e - Engineering Applications of Artificial …, 2023 - Elsevier
In this paper, we address the problem of real-time navigation and obstacle avoidance for
automated guided vehicles (AGVs) in dynamic environments, which is a primary research …
automated guided vehicles (AGVs) in dynamic environments, which is a primary research …
Fractional optimal control for malware propagation in Internet of underwater things
G Liu, Z Tan, Z Liang, H Chen… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The Internet of Underwater Things (IoUT) relies on wireless communication devices that are
arranged in an open underwater environment and can interact with other devices through …
arranged in an open underwater environment and can interact with other devices through …
Smart parking space detection under hazy conditions using convolutional neural networks: a novel approach
Limited urban parking space combined with urbanization has necessitated the development
of smart parking systems that can communicate the availability of parking slots to the end …
of smart parking systems that can communicate the availability of parking slots to the end …
Hybrid Optimal Control for Malware Propagation in UAV-WSN System: A Stacking Ensemble Learning Control Algorithm
G Liu, J Zhang, X Zhong, X Hu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) and wireless sensor network (WSN) system widely used in
emergency sites monitoring, disaster relief and data collection, is vulnerable to malware …
emergency sites monitoring, disaster relief and data collection, is vulnerable to malware …
Deep learning‐based optimal tracking control of flow front position in an injection molding machine
J Xu, Z Ren, S **e, Y Wang… - … Control Applications and …, 2023 - Wiley Online Library
The product quality of injection‐molded plastic is closely related to the injection flow velocity
of molten plastics. In this article, an optimal tracking control problem for the injection flow …
of molten plastics. In this article, an optimal tracking control problem for the injection flow …
Tridimensional vector path abstracting and trajectory tracking control on ramps of full self-driving vehicle
Z He, Q Shi, J Liang, J Gui, T Cheng, L He - Control Engineering Practice, 2023 - Elsevier
Under the constraints of time and the corresponding vehicle location, trajectory tracking
control of full self-driving vehicles on ramps requires higher speed to overcome the increase …
control of full self-driving vehicles on ramps requires higher speed to overcome the increase …