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Precision and Accuracy Analysis: Cobot vs. Human Operator

  • State University of New York Binghamton University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study investigates the precision and accuracy of a collaborative robot (cobot) compared to a human operator in a pick and place operation. Through a controlled experiment involving 120 measurements for each operator, the authors analyzed performance using statistical methods including control charts, process capability analysis, and deviation measurements. The experimental design required both operators to place a one-inch cube on a specific target location, with deviations measured in the x and y directions. Results demonstrate that the cobot significantly outperformed the human operator in both precision and accuracy. Control chart analysis showed the cobot maintained statistical control in eight of nine measurements, while the human operator achieved control in only three. Although neither operator met process capability requirements (Cp and Cpk values of 1.0), the cobot’s values were substantially closer. Deviation analysis revealed that the cobot placed the cube within the 0.1 mm specification limits 99.2% of the time, while the human operator succeeded in only 16.7% of trials. This research provides evidence that cobots represent a viable alternative to human operators for tasks requiring high precision and accuracy in manufacturing and service industries, with implications for sectors including pharmaceutical dispensing and electronics manufacturing.

Original languageEnglish
Title of host publicationFlexible Automation and Intelligent Manufacturing
Subtitle of host publicationThe Future of Automation and Manufacturing: Intelligence, Agility, and Sustainability - Proceedings of FAIM 2025
EditorsKrishnaswami Srihari, Mohammad T. Khasawneh, Sangwon Yoon, Daehan Won
PublisherSpringer Science and Business Media Deutschland GmbH
Pages650-659
Number of pages10
ISBN (Print)9783032056092
DOIs
StatePublished - 2026
Event34th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2025 - New York City, United States
Duration: Jun 21 2025Jun 24 2025

Publication series

NameLecture Notes in Mechanical Engineering

Conference

Conference34th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2025
Country/TerritoryUnited States
CityNew York City
Period06/21/2506/24/25

Keywords

  • Cobots
  • Collaborative robots
  • Control charts
  • Gage R&R
  • Industry 4.0
  • Pick-and-place
  • Process capability

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