Seamless Human–Robot Interaction

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This chapter focuses on human–robot interaction technologies that could seamlessly support operators on their activities in a production line. The key technology that has been mobilized is Augmented Reality (AR), due to its intuitiveness and the easiness that can overlay digital information on real assets, giving more mature support to the operators. Also, another benefit of AR technology, is that operators can receive this information using wearable devices when needed, avoiding losing time waiting or moving around the assembly station where a fixed control PC exists. Following a literature review, it is described the initialization phase of an AR application, through which the system can understand the personal characteristics of the operator (such as his/her height), to give him/her a realistic feeling when the digital components are overlaid on the real ones. Additionally, during this phase, the system receives information about the station where the operator is located, to provide the respective information. Later, support functionalities for both programming and execution phases of the production are described, as well as a brief description of the software platform to which all the tools have been integrated. Lastly, a couple of use cases stemming from the automotive industry prove the described concept.

References Powered by Scopus

Design of reconfigurable manufacturing systems

678Citations
N/AReaders
Get full text

Augmented reality applications in design and manufacturing

654Citations
N/AReaders
Get full text

Automotive assembly technologies review: challenges and outlook for a flexible and adaptive approach

351Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Makris, S. (2021). Seamless Human–Robot Interaction. In Springer Series in Advanced Manufacturing (pp. 289–307). Springer Nature. https://doi.org/10.1007/978-3-030-51591-1_15

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 2

67%

Researcher 1

33%

Readers' Discipline

Tooltip

Computer Science 2

67%

Engineering 1

33%

Save time finding and organizing research with Mendeley

Sign up for free