Consumption Patterns and the Advent of Automated Guided Vehicles, and the Trends for Automated Guided Vehicles

Patricio, Ricardo; Mendes, A.

doi:10.1007/s43154-020-00007-4

Cited by 11 publications

(5 citation statements)

References 1 publication

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“…Finally, understanding consumer behavior and market trends is another challenge for ecommerce operations. Due to differences in consumers' shopping habits, cultural background, and consumption ability, e-commerce operators need to use extensive data analysis to determine the needs and preferences of different consumers to better plan marketing strategies and provide personalized services [4].…”

Section: Development and Challenges Of Crossborder E-commercementioning

confidence: 99%

Exploring the Innovative Application of Azure Cloud Computing Platform in Cross-border E-commerce Operation

C¹,

Feng-lin²

2023

FCIS

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This study focuses on the potential application of Azure cloud computing platforms in Cross-border E-commerce operations, especially in Cross-border E-commerce from China to Southeast Asia. First, we review the basic concepts and characteristics of the Azure cloud computing platform and its potential advantages in e-commerce operations, including improving efficiency, reducing costs, and supporting innovation. Then, we analyze the specific application of Azure's leading cloud technology tools, such as Azure Data Factory, Azure Machine Learning, Azure Databricks, and Azure Bot Service, in Cross-border E-commerce operations. And how to use these tools to optimize Cross-border E-commerce operations. In addition, we build an application framework of Azure in Cross-border E-commerce operation optimization, aiming to help Cross-border E-commerce enterprises make reasonable decisions in cloud technology adoption. In the final section, we summarize the main findings and contributions of this study, point out the limitations of the study, and make recommendations for future research. We expect this study to provide a reference for Cross-border E-commerce enterprises to adopt cloud technology, improve operational efficiency and reduce operating costs, and provide theoretical support for future related research.

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Section: Development and Challenges Of Crossborder E-commercementioning

confidence: 99%

Exploring the Innovative Application of Azure Cloud Computing Platform in Cross-border E-commerce Operation

C¹,

Feng-lin²

2023

FCIS

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“…29,30 This enhances efficiency, minimizes errors, and increases precision in industrial manufacturing; (2) Machine learning technology enables robotic arms to accurately identify and classify objects, thereby assisting them in tasks such as assembly, sorting, and packaging more efficiently 31–33 , (3) AI can optimize the transportation and distribution process by employing robotic arms to automate tasks such as packaging, stacking, and distribution of goods. 32,34,35 This reduces costs and speeds up the transportation process; (4) AI can be integrated into robotic arms to create a better interaction experience with humans. 36–38 This can help robotic arms work alongside humans in a manufacturing environment and perform complex tasks more easily; (5) AI can be used to predict potential issues and conduct regular maintenance on robotic arms.…”

Section: Introductionmentioning

confidence: 99%

Integrating long short-term memory for optimal control of 6-DOF welding robot arm

Phan

2024

Advances in Mechanical Engineering

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In the realm of mechatronics, robots stand out as emblematic manifestations of societal progress. The synergy between the evolution of robotic technologies and artificial intelligence (AI) has been pivotal in refining performance and elevating the automation capabilities of robotic arms. This study delves into the integration of the long short-term memory (LSTM) AI model in the control of the inverse dynamics of a six-degree-of-freedom welding robot arm, employing a velocity-based motion control methodology. Noteworthy for its innovative operational approach, this method is widely employed across diverse models of industrial robotic arms. The research findings underscore the superior optimization results achieved by the LSTM model during the accumulation of control signals, surpassing previous studies in the same domain. Anticipated as a catalyst for substantial improvements in the efficiency of welding robot operations, this model heralds a promising avenue for future advancements in optimization techniques.

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“…Automated driving is currently one of the most important development goals in automotive research, not only in the field of passenger cars and public transport [1]. Driverless operation also represents a major benefit for future commercial vehicles [2] or automated guided vehicles [3]. The interface between the automated driving functions and the driveby-wire chassis mechatronics is the path-tracking controller.…”

Section: Introductionmentioning

confidence: 99%

Pragmatic and Effective Enhancements for Stanley Path-Tracking Controller by Considering System Delay

2023

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The Stanley controller is a proven approach for path tracking control in automated vehicles. If time delays occur, for example, in signal processing and steering angle control, precision and stability decrease. In this article, enhancements for the Stanley controller are proposed to achieve stable behavior with improved tracking accuracy. The approach uses the curvature of the path as feedforward, whereby the reference point for the feedforward input differs from that of the controller setpoints. By choosing a point further along the path, the negative effects of system delay are reduced. First, the parameters of the Stanley controller are calibrated using a straight line and circle maneuver. Then, the newly introduced feedforward parameter is optimized on a dynamic circuit. The approach was evaluated in simulation and validated on a demonstrator vehicle. The validation tests with the demonstrator vehicle on the dynamic circuit revealed a reduction of the root-mean-square cross-track error from 0.11 m to 0.03 m compared to the Stanley controller. We proved that the proposed approach optimizes the Stanley controller in terms of compensating for the negative effects of system delay. This allows it to be used in a wider range of applications that would otherwise require a more complex control approach.

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Consumption Patterns and the Advent of Automated Guided Vehicles, and the Trends for Automated Guided Vehicles

Cited by 11 publications

References 1 publication

Exploring the Innovative Application of Azure Cloud Computing Platform in Cross-border E-commerce Operation

Exploring the Innovative Application of Azure Cloud Computing Platform in Cross-border E-commerce Operation

Integrating long short-term memory for optimal control of 6-DOF welding robot arm

Pragmatic and Effective Enhancements for Stanley Path-Tracking Controller by Considering System Delay

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