Assisted Human-Robot Interaction for Industry Application Based Augmented Reality

Abstract

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.