Human Robot Interaction – learning how to integrate collaborative robots into manual assembly lines

Oberc, Henning; Prinz, Christopher; Glogowski, Paul; Lemmerz, Kai; Kuhlenkötter, Bernd

doi:10.1016/j.promfg.2019.03.005

Cited by 22 publications

(10 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to implement the technology of cyber physical systems, the human being serves as an interface in a collaboration with machines and robots. Those Adaptive Robots combine worker flexibility with the advantages of robotics [119,121]. The robot extends the possibilities of the human [121,122].…”

Section: Key Technologiesmentioning

confidence: 99%

See 1 more Smart Citation

Industry 4.0: A Technological-Oriented Definition Based on Bibliometric Analysis and Literature Review

Rupp

Schneckenburger

Merkel

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

View full text Add to dashboard Cite

Industry 4.0 was introduced in 2011 and since then has been perceived in multiple ways such as a vision, a paradigm, a scenario or as a digital revolution in production and service organizations. Even though Industry 4.0 is associated with great improvements for companies, there is still a lack of a uniform definition of the term Industry 4.0, especially when it comes to the transfer of knowledge from theoretical research to the implementation in organizations, which leads to confusion and disaffirmation. The lack of a clear structure and a holistic definition of the research topic Industry 4.0 inhibits the development of new business areas and new research approaches. To target this fundamental gap, a methodology is developed and the 338 most relevant publications are analyzed in the database of ScienceDirect starting from 2015. Based on those publications, the field of Industry 4.0 is structured. A consistent and comprehensive definition for Industry 4.0 is introduced by using a bibliometric analysis. Therefore, existing descriptions are decomposed into word fragments and analyzed. It is shown that this novel approach to find a definition for the term “Industry 4.0” does not yet exist. The aim is to provide a purely objective definition based on a statistical evaluation, without restricting the selection of publications to a specific research or business area. Based on those data, a new and ubiquitous definition of Industry 4.0 is formed, discussed and validated on practical examples.

show abstract

Section: Key Technologiesmentioning

confidence: 99%

“…In several applications, AI has proven to be a key tool when it comes to complex problems involved in demanding applications [123]. The goal of the technology is an intelligent machine that can react in a similar way to human logic [121].…”

Section: Key Technologiesmentioning

confidence: 99%

Industry 4.0: A Technological-Oriented Definition Based on Bibliometric Analysis and Literature Review

Rupp

Schneckenburger

Merkel

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

View full text Add to dashboard Cite

show abstract

“…The authors in [13] claimed that the reason behind this is the lack of knowledge when integrating cobots into manufacturing and business. Therefore, Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therefore, Ref. [13] examined current training programs that inform manufacturers about finances and tools that support decision makers to analyse assembly workstations and determine whether HRC would be beneficial to their applications. The study concluded with the fact that there is a lack of knowledge about the integration of cobots into the manufacturing processes.…”

Section: Literature Reviewmentioning

confidence: 99%

Data-Driven Modelling of Human-Human Co-Manipulation Using Force and Muscle Surface Electromyogram Activities

et al. 2021

View full text Add to dashboard Cite

With collaborative robots and the recent developments in manufacturing technologies, physical interactions between humans and robots represent a vital role in performing collaborative tasks. Most previous studies have focused on robot motion planning and control during the execution of the task. However, further research is required for direct physical contact for human-robot or robot-robot interactions, such as co-manipulation. In co-manipulation, a human operator manipulates a shared load with a robot through a semi-structured environment. In such scenarios, a multi-contact point with the environment during the task execution results in a convoluted force/toque signature that is difficult to interpret. Therefore, in this paper, a muscle activity sensor in the form of an electromyograph (EMG) is employed to improve the mapping between force/torque and displacements in co-manipulation tasks. A suitable mapping was identified by comparing the root mean square error amongst data-driven models, mathematical models, and hybrid models. Thus, a robot was shown to effectively and naturally perform the required co-manipulation with a human. This paper’s proposed hypotheses were validated using an unseen test dataset and a simulated co-manipulation experiment, which showed that the EMG and data-driven model improved the mapping of the force/torque features into displacements.

show abstract

“…Assembly lines and assembly systems are especially suited environment for cobots, since there are many opportunities for interacting and assisting the assembly manual work. The increased ability of robots along with elimination of safety issues, open new opportunities for cobot utilization in assembly lines [34]. Cobots in the assembly processes are used smartly to assist manual assembly work, replace the worker in awkward postures or even replace part of the manual movements.…”

Section: And Cobotsmentioning

confidence: 99%

Design and management of digital manufacturing and assembly systems in the Industry 4.0 era

Cohen

Faccio

Pilati

et al. 2019

Int J Adv Manuf Technol

134

View full text Add to dashboard Cite

The advances in Industry 4.0 provide both challenges and opportunities for digital manufacturing and assembly systems. This paper first addresses the state-of-the-art readiness for Industry 4.0 concerning assembly and manufacturing systems through a literature review of the relevant papers recently published. Then it assesses the challenges faced nowadays by assembly and manufacturing systems. Third, it focuses on the most promising future developments and evolution of such production systems as well as their digitalisation. Finally, this manuscript illustrates the content of the papers selected for this special issue. Through the study presented in this special issue, valuable contributions to both theory and application in this area have been achieved, and a useful reference for future research is given.

show abstract

Human Robot Interaction – learning how to integrate collaborative robots into manual assembly lines

Cited by 22 publications

References 5 publications

Industry 4.0: A Technological-Oriented Definition Based on Bibliometric Analysis and Literature Review

Industry 4.0: A Technological-Oriented Definition Based on Bibliometric Analysis and Literature Review

Data-Driven Modelling of Human-Human Co-Manipulation Using Force and Muscle Surface Electromyogram Activities

Design and management of digital manufacturing and assembly systems in the Industry 4.0 era

Contact Info

Product

Resources

About