TY - GEN
T1 - Assisted Human-Robot Interaction for Industry Application Based Augmented Reality
AU - Fang, Haonan
AU - Wen, Jingqian
AU - Yang, Xiao Nan
AU - Wang, Peng
AU - Li, Yinqian
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Augmented Reality provides more possibilities for industrial manufacturing to solve the current problems. However, previous researches have been focused on virtual scene visualization and robot trajectory prediction. The investigation of robotic real-time teleoperation using AR is limited, which is still facing great challenges. In this research, a novel method is presented for human-robot interaction for industrial applications based on AR, like assembly. Users can intuitively teleoperate a 6-DOFs industry robot to recognize and locate entities by multi-channel operation via HoloLens2. Augmented reality, as a medium, bridges human zones and robot zones. The system can transform user instructions from virtual multi-channel user interface to robots by communication module in AR environment. The above approaches and related devices are elaborated in this paper. An industrial case is presented to implement and validate the feasibility of the AR-based human-robot interactive system. The results provide evidence to support that AR is one of the efficient methods to realize multi-channel human-robot interaction.
AB - Augmented Reality provides more possibilities for industrial manufacturing to solve the current problems. However, previous researches have been focused on virtual scene visualization and robot trajectory prediction. The investigation of robotic real-time teleoperation using AR is limited, which is still facing great challenges. In this research, a novel method is presented for human-robot interaction for industrial applications based on AR, like assembly. Users can intuitively teleoperate a 6-DOFs industry robot to recognize and locate entities by multi-channel operation via HoloLens2. Augmented reality, as a medium, bridges human zones and robot zones. The system can transform user instructions from virtual multi-channel user interface to robots by communication module in AR environment. The above approaches and related devices are elaborated in this paper. An industrial case is presented to implement and validate the feasibility of the AR-based human-robot interactive system. The results provide evidence to support that AR is one of the efficient methods to realize multi-channel human-robot interaction.
KW - Augmented Reality
KW - Human-robot interaction
KW - Manufacturing industry
UR - http://www.scopus.com/inward/record.url?scp=85131959752&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-06015-1_20
DO - 10.1007/978-3-031-06015-1_20
M3 - Conference contribution
AN - SCOPUS:85131959752
SN - 9783031060144
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 291
EP - 301
BT - Virtual, Augmented and Mixed Reality
A2 - Chen, Jessie Y.
A2 - Fragomeni, Gino
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2022 Held as Part of the 24th HCI International Conference, HCII 2022
Y2 - 26 June 2022 through 1 July 2022
ER -