Mixed Reality Robot Programming Using Hand Gestures

Kai Tai Song*, Shih Wei Chiu

*Corresponding author for this work

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

Abstract

In this paper, we present a hand gesture-based robot path generation system using mixed reality (MR) for interactive robot programming. A hand-gesture recognition scheme is proposed to recognize specific gestures for path generation and modification. A user can intuitively plan a virtual path by hand gestures in the actual working space and send the planned path to the robot controller to execute through the MR glasses. A human-machine interface is designed to allow a user to assign the required task and send control commands to the robot. To ensure the robot can accurately move along the planned path, a calibration procedure is designed to establish the relationship between the MR system and robot navigation system. The proposed method has been realized and verified using a TM5 cobot and HoloLens II. The experimental results show that the robot navigation error is within 2mm using the developed MR-based robot programming system.

Original languageEnglish
Title of host publication2024 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350362572
DOIs
StatePublished - 2024
Event2024 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2024 - Taipei, Taiwan
Duration: 22 Aug 202424 Aug 2024

Publication series

NameInternational Conference on Advanced Robotics and Intelligent Systems, ARIS
ISSN (Print)2374-3255
ISSN (Electronic)2572-6919

Conference

Conference2024 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2024
Country/TerritoryTaiwan
CityTaipei
Period22/08/2424/08/24

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