Do Speed and Proximity Affect Human-Robot Collaboration with an Industrial Robot Arm?

STORY, Matthew, WEBB, Phil, FLETCHER, Sarah R, TANG, Gilbert, JAKSIC, Cyril and CARBERRY, Jon (2022). Do Speed and Proximity Affect Human-Robot Collaboration with an Industrial Robot Arm? International Journal of Social Robotics, 14 (4), 1087-1102.

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Official URL: http://dx.doi.org/10.1007/s12369-021-00853-y
Open Access URL: https://link.springer.com/content/pdf/10.1007/s123... (Published)
Link to published version:: https://doi.org/10.1007/s12369-021-00853-y

Abstract

Current guidelines for Human-Robot Collaboration (HRC) allow a person to be within the working area of an industrial robot arm whilst maintaining their physical safety. However, research into increasing automation and social robotics have shown that attributes in the robot, such as speed and proximity setting, can influence a person’s workload and trust. Despite this, studies into how an industrial robot arm’s attributes affect a person during HRC are limited and require further development. Therefore, a study was proposed to assess the impact of robot’s speed and proximity setting on a person’s workload and trust during an HRC task. Eighty-three participants from Cranfield University and the ASK Centre, BAE Systems Samlesbury, completed a task in collaboration with a UR5 industrial robot arm running at different speeds and proximity settings, workload and trust were measured after each run. Workload was found to be positively related to speed but not significantly related to proximity setting. Significant interaction was not found for trust with speed or proximity setting. This study showed that even when operating within current safety guidelines, an industrial robot can affect a person’s workload. The lack of significant interaction with trust was attributed to the robot’s relatively small size and high success rate, and therefore may have an influence in larger industrial robots. As workload and trust can have a significant impact on a person’s performance and satisfaction, it is key to understand this relationship early in the development and design of collaborative work cells to ensure safe and high productivity.

Item Type: Article
Uncontrolled Keywords: 0801 Artificial Intelligence and Image Processing; 0915 Interdisciplinary Engineering; 2002 Cultural Studies; 4602 Artificial intelligence; 4608 Human-centred computing
Identification Number: https://doi.org/10.1007/s12369-021-00853-y
Page Range: 1087-1102
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 18 Apr 2024 10:21
Last Modified: 18 Apr 2024 10:21
URI: https://shura.shu.ac.uk/id/eprint/33535

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