The Effects of Type and Form of Collaborative Robots in Manufacturing on Trustworthiness, Risk Perceived, and Acceptance

Liu, Li; Zou, Zishuai; Greene, Runyu L.

doi:10.1080/10447318.2023.2169527

Cited by 10 publications

(4 citation statements)

References 99 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It features two highly flexible arms with integrated sensors, cameras, and advanced control systems. What distinguishes YuMi is its human-like dexterity, allowing it to handle intricate tasks such as assembling delicate electronic components, sorting small items, and performing fine-tuned quality inspections [102]. YuMi is designed to work safely alongside human operators, enhancing the efficiency of assembly lines.…”

Section: Collaborative Robotsmentioning

confidence: 99%

Intelligent Robotics—A Systematic Review of Emerging Technologies and Trends

Licardo,

Domjan,

Orehovački

2024

Electronics

View full text Add to dashboard Cite

Intelligent robotics has the potential to revolutionize various industries by amplifying output, streamlining operations, and enriching customer interactions. This systematic literature review aims to analyze emerging technologies and trends in intelligent robotics, addressing key research questions, identifying challenges and opportunities, and proposing the best practices for responsible and beneficial integration into various sectors. Our research uncovers the significant improvements brought by intelligent robotics across industries such as manufacturing, logistics, tourism, agriculture, healthcare, and construction. The main results indicate the importance of focusing on human–robot collaboration, ethical considerations, sustainable practices, and addressing industry-specific challenges to harness the opportunities presented by intelligent robotics fully. The implications and future directions of intelligent robotics involve addressing both challenges and potential risks, maximizing benefits, and ensuring responsible implementation. The continuous improvement and refinement of existing technology will shape human life and industries, driving innovation and advancements in intelligent robotics.

show abstract

Section: Collaborative Robotsmentioning

confidence: 99%

Intelligent Robotics—A Systematic Review of Emerging Technologies and Trends

Licardo,

Domjan,

Orehovački

2024

Electronics

View full text Add to dashboard Cite

show abstract

“…To ensure competitiveness and successful development in the digital world, it delivers innovative solutions that improve the quality, efficiency, and flexibility of manufacturing processes. [16][17][18]…”

Section: Literature Reviewmentioning

confidence: 99%

Modular Intelligent Control System in the Pre-assembly Stage

Micieta,

Macek,

Binasova

et al. 2024

Preprint

View full text Add to dashboard Cite

This paper addresses the approach of fully automated intelligent control systems in production organizations, focusing on intelligent production systems research. The overview highlights a gap in control operations ahead of assembly as single-purpose control machines are frequently employed, which is precisely their drawback. Conversely, there are accurate multipurpose measurement centers that do not provide total quality control over the manufactured parts because of the cost and length of the measuring procedure. The study's primary objective was to create an intelligent modular control system, whose concept enables it to control various components. The purpose of the modular intelligent control system is to keep an eye on each module's quality during the pre-assembly phase. This system ensures exact control over the production process of modules by integrating sophisticated sensors, diagnostic tools, and intelligent control mechanisms. The technology makes it possible to monitor several parameters and important quality features. Integrated sensors and diagnostic technologies identify possible inaccuracies and disparities, guaranteeing prompt diagnosis of issues in specific modules. The system's intelligent control algorithms streamline the production process and guarantee synchronization between individual modules to achieve consistent quality and performance. One advantage of implementing the solution is that, on average, inspection time is reduced by 40 to 60% as compared to the prior manual inspection approach. In addition, full measurement data archiving was made available, and finally, the human element—which introduced a substantial error rate into this process—was removed. This system also helps to increase the project's overall efficiency, predictability, and safety while allowing for quick adjustments by standards and requirements.

show abstract

“…The design of modules for control operations [16][17][18] is based on a set of ideal components, which are subsequently used to modify real components available on the market. These can subsequently be suitably modified based on customer demand.…”

Section: General Model Of Control Modulesmentioning

confidence: 99%

Modular Intelligent Control System in the Pre-Assembly Stage

Micieta,

Macek,

Binasova

et al. 2024

Electronics

View full text Add to dashboard Cite

This paper presents a novel approach to developing fully automated intelligent control systems for use within production-based organizations, with a specific focus on advancing research into intelligent production systems. This analysis underscores a prevailing deficiency in control operations preceding assembly, where single-purpose control machines are commonly utilized, thus presenting inherent limitations. Conversely, while accurate multipurpose measurement centers exist, they often fail to deliver comprehensive quality control for manufactured parts due to cost and time constraints associated with the measuring process. The primary aim in this study was to develop an intelligent modular control system capable of overseeing the production of diverse components effectively. The modular intelligent control system is designed to meticulously monitor the quality of each module during the pre-assembly phase. By integrating sophisticated sensors, diagnostic tools, and intelligent control mechanisms, this system ensures precise control over module production processes. It facilitates the monitoring of multiple parameters and critical quality features, while integrated sensors and diagnostic methods promptly identify discrepancies and inaccuracies, enabling the swift diagnosis of issues within specific modules. The system’s intelligent control algorithms optimize production processes and ensure synchronization among individual modules, thereby ensuring consistent quality and performance. Notably, the implementation of this solution reduces inspection time by an average of 40 to 60% compared to manual inspection methods. Moreover, the system enables the comprehensive archiving of measurement data, eliminating the substantial error rates introduced by human involvement in the inspection process. Furthermore, the system enhances overall project efficiency, predictability, and safety, while allowing for rapid adjustments in order to meet standards and requirements. This innovative approach represents a significant advancement in intelligent control systems for use in production organizations, offering substantial benefits in terms of efficiency, accuracy, and adaptability.

show abstract

The Effects of Type and Form of Collaborative Robots in Manufacturing on Trustworthiness, Risk Perceived, and Acceptance

Cited by 10 publications

References 99 publications

Intelligent Robotics—A Systematic Review of Emerging Technologies and Trends

Intelligent Robotics—A Systematic Review of Emerging Technologies and Trends

Modular Intelligent Control System in the Pre-assembly Stage

Modular Intelligent Control System in the Pre-Assembly Stage

Contact Info

Product

Resources

About