Development and assessment of a contactless 3D joystick approach to industrial manipulator gesture control

Date

2022-11-18

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Department

Type

Article

ISSN

0169-8141

Format

Free to read from

Citation

Bordoni S, Tang G. (2023) Development and assessment of a contactless 3D joystick approach to industrial manipulator gesture control, International Journal of Industrial Ergonomics. Volume 93, January 2023, Article number 103376

Abstract

This paper explores a novel design of ergonomic gesture control with visual feedback for the UR3 collaborative robot that aims to allow users with little to no familiarity with robots to complete basic tasks and programming. The principle behind the design mirrors that of a 3D joystick but utilises the Leapmotion device to track the user's hands and prevents any need for a physical joystick or buttons. The Rapid Upper Limb Assessment (RULA) ergonomic tool was used to inform the design and ensure the system was safe for long-term use. The developed system was assessed using the RULA tool for an ergonomic score and through an experiment requiring 19 voluntary participants to complete a basic task with both the gesture system and the UR3's RTP (Robot Teach Pendant), then filling out SUS (System Usability Scale) questionnaires to compare the usability of both systems. The task involved controlling the robot to pick up a pipe and then insert it into a series of slots of decreasing diameter, allowing for both the speed and accuracy of each system to be compared. The experiment found that even those with no previous robot experience were able to complete the tasks after only a brief description of how the gesture system works. Despite beating the RTP's ergonomic score, the system narrowly lost on average usability scores. However, as a contactless gesture system it has other advantages over the RTP and through this experiment many potential improvements were identified, paving the way for future work into assessing the significance of including the visual feedback and comparing this system against other gesture-based systems.

Description

Software Description

Software Language

Github

Keywords

robotics, human-robot interaction, gesture control, ergonomics, usability

DOI

Rights

Attribution 4.0 International

Relationships

Relationships

Supplements

Funder/s