Path Planning of Autonomous Mobile Robot in Mixed Reality Environments through Exploring Augmented Realities
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Abstract
In contemporary industrial settings, the automation systems and robotics integration offer a promising pathway for advancing intelligent manufacturing. Autonomous Mobile Robot (AMRs) represent a key component in streamlining executing specific tasks and transportation of materials efficiently, thus minimizing human resource utilization. However, the effectiveness of AMRs hinges on meticulous planning and optimization of their operational paths, often necessitating thorough workspace analysis and fine-tuning through simulation. To develop a visual simulation This research aims to leverage state-of-the-art scene technologies environment for AMRs within Mixed Reality (MR). By seamlessly blending simulated and corporeal essentials, this MR environment enables the creation and visualization of diverse tasks, facilitating the description of target points and the identification of optimal paths while intuitively minimizing potential downtimes. The outcome of this research is an interactive software application designed to enable users to create AMR (Autonomous Mobile Robot) paths through natural hand gestures. Additionally, the software provides the capability to export these paths into a computer-readable format, ensuring easy integration for practical use.
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