SCIENCE@home

Integrating Intelligence and Knowledge of Human Factors to Facilitate Collaboration in Manufacturing

Harley Oliff,Y. Liu,Maneesh Kumar,Michael Williams

Published 2018 in Volume 1B: 38th Computers and Information in Engineering Conference

ABSTRACT

The implementation of automation has become a common occurrence in recent years, and automated robotic systems are actively used in many manufacturing processes. However, fully automated manufacturing systems are far less common, and human operators remain prevalent. The resulting scenario is one where human and robotic operators work in close proximity, and directly affect the behavior of one another. Conversely to their robotic counterparts, human beings do not share the same level of repeatability or accuracy, and as such can be a source of uncertainty in such processes. Concurrently, the emergence of intelligent manufacturing has presented opportunities for adaptability within robotic control. This work examines relevant human factors and develops a learning model to examine how to utilize this knowledge and provide appropriate adaptability to robotic elements, with the intention of improving collaborative interaction with human colleagues, and optimized performance. The work is supported by an example case-study, which explores the application of such a control system, and its performance in a real-world production scenario.

PUBLICATION RECORD

  • Publication year

    2018

  • Venue

    Volume 1B: 38th Computers and Information in Engineering Conference

  • Publication date

    2018-08-26

  • Fields of study

    Computer Science, Engineering

  • Identifiers
    DOI 10.1115/DETC2018-85805
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-46 of 46 references · Page 1 of 1

CITED BY