Journal Published Online: 13 January 2022
Volume 6, Issue 1

Evaluation of Robot Degradation on Human-Robot Collaborative Performance in Manufacturing

CODEN: SSMSCY

Abstract

Human-robot collaborative systems are highly sought candidates for smart manufacturing applications because of their adaptability and consistency in production tasks. However, manufacturers are still hesitant to adopt these systems because of the lack of metrics regarding the influence of the degradation of collaborative industrial robots on human-robot teaming performance. Hence, this paper defines teaming performance metrics with respect to robot degradation. In addition, the defined metrics are applied to a human-robot collaborative inverse peg-in-hole case study with respect to the degradation of the joint angular encoder and current sensor. Specifically, this case study compares pure insertion versus insertion with spatial scanning to solve the peg-in-hole problem, and manual intervention is implemented in the event of robotic failure. The metrics used in the case study showed that pure insertion more sensitive to robot degradation with manual intervention was required at 0.04° as opposed to 0.12° from insertion with scanning. Therefore, insertion with scanning was shown to be more robust to robot degradation at the cost of a slower insertion time of 9.48 s compared to 3.19 s. Thus, this paper provides knowledge and usable metrics regarding the influence of robot degradation on human-robot collaborative systems in manufacturing applications.

Author Information

Nguyen, Vinh
Engineering Laboratory, Intelligent Systems Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
Marvel, Jeremy
Engineering Laboratory, Intelligent Systems Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
Pages: 14
Price: Free
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Details
Stock #: SSMS20210036
ISSN: 2520-6478
DOI: 10.1520/SSMS20210036