Design and Evaluation of an Augmented Reality Head-mounted Display Interface for Human Robot Teams Collaborating in Physically Shared Manufacturing Tasks

Author:

Chan Wesley P.1ORCID,Hanks Geoffrey2ORCID,Sakr Maram2ORCID,Zhang Haomiao2ORCID,Zuo Tiger2ORCID,van der Loos H. F. Machiel2ORCID,Croft Elizabeth1ORCID

Affiliation:

1. Monash University, Australia

2. University of British Columbia, Vancouver, BC, Canada

Abstract

We provide an experimental evaluation of a wearable augmented reality (AR) system we have developed for human-robot teams working on tasks requiring collaboration in shared physical workspace. Recent advances in AR technology have facilitated the development of more intuitive user interfaces for many human-robot interaction applications. While it has been anticipated that AR can provide a more intuitive interface to robot assistants helping human workers in various manufacturing scenarios, existing studies in robotics have been largely limited to teleoperation and programming. Industry 5.0 envisions cooperation between human and robot working in teams. Indeed, there exist many industrial tasks that can benefit from human-robot collaboration. A prime example is high-value composite manufacturing. Working with our industry partner towards this example application, we evaluated our AR interface design for shared physical workspace collaboration in human-robot teams. We conducted a multi-dimensional analysis of our interface using established metrics. Results from our user study (n = 26) show that, subjectively, the AR interface feels more novel and a standard joystick interface feels more dependable to users. However, the AR interface was found to reduce physical demand and task completion time, while increasing robot utilization. Furthermore, user’s freedom of choice to collaborate with the robot may also affect the perceived usability of the system.

Funder

Australian Research Council Discovery Projects

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Human-Computer Interaction

Reference42 articles.

1. Trajectories and keyframes for kinesthetic teaching

2. Rasmus S. Andersen, Ole Madsen, Thomas B. Moeslund, and Heni Ben Amor. 2016. Projecting robot intentions into human environments. In IEEE International Workshop on Robot and Human Communication (ROMAN). 294–301.

3. J. Brooke. 1996. SUS: a “quick and dirty” usability scale. In Usability Evaluation in Industry P. W. Jordan B. Thomas B. A. Weerdmeester and A. L. McClelland (Eds.). Taylor and Francis.

4. An augmented reality human-robot physical collaboration interface design for shared, large-scale, labour-intensive manufacturing tasks;Chan Wesley P.;IEEE International Workshop on Intelligent Robots and Systems (IROS),2020

5. Robot programming using augmented reality: An interactive method for planning collision-free paths

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