TY - GEN
T1 - Mixed Reality Robot Programming Using Hand Gestures
AU - Song, Kai Tai
AU - Chiu, Shih Wei
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85206253075&partnerID=8YFLogxK
U2 - 10.1109/ARIS62416.2024.10680008
DO - 10.1109/ARIS62416.2024.10680008
M3 - Conference contribution
AN - SCOPUS:85206253075
T3 - International Conference on Advanced Robotics and Intelligent Systems, ARIS
BT - 2024 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2024
Y2 - 22 August 2024 through 24 August 2024
ER -