RoSTAR: ROS-based Telerobotic Control via Augmented Reality

Chung Xue Er Shamaine, Yuansong Qiao, John Henry, Ken McNevin, Niall Murray

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

19 Citations (Scopus)

Abstract

Real world virtual world communication and interaction will be a cornerstone of future intelligent manufacturing ecosystems. Human robotic interaction is considered to be the basic element of factories of the future. Despite the advancement of different technologies such as wearables and Augmented Reality (AR), human-robot interaction (HRI) is still extremely challenging. Whilst progress has been made in the development of different mechanisms to support HRI, there are issues with cost, naturalistic and intuitive interaction, and communication across heterogeneous systems. To mitigate these limitations, RoSTAR is proposed. RoSTAR is a novel open-source HRI system based on the Robot Operating System (ROS) and Augmented Reality. An AR Head Mounted Display (HMD) is deployed. It enables the user to interact and communicate through a ROS powered robotic arm. A model of the robot arm is imported directly into the Unity Game engine, and any interactions with this virtual robotic arm are communicated to the ROS robotic arm. This system has the potential to be used for different process tasks, such as robotic gluing, dispensing and arc welding as part of an interoperable, low cost, portable and naturalistically interactive experience.

Original languageEnglish
Title of host publicationIEEE 22nd International Workshop on Multimedia Signal Processing, MMSP 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728193205
DOIs
Publication statusPublished - 21 Sep 2020
Event22nd IEEE International Workshop on Multimedia Signal Processing, MMSP 2020 - Virtual, Tampere, Finland
Duration: 21 Sep 202024 Sep 2020

Publication series

NameIEEE 22nd International Workshop on Multimedia Signal Processing, MMSP 2020

Conference

Conference22nd IEEE International Workshop on Multimedia Signal Processing, MMSP 2020
Country/TerritoryFinland
CityVirtual, Tampere
Period21/09/2024/09/20

Keywords

  • Augmented Reality
  • Human-Robot Interaction
  • Robot Operating System
  • Unity3D

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