English

Flexible Multi-DoF Aerial 3D Printing Supported with Automated Optimal Chunking

Robotics 2023-08-24 v1

Abstract

The future of 3D printing utilizing unmanned aerial vehicles (UAVs) presents a promising capability to revolutionize manufacturing and to enable the creation of large-scale structures in remote and hard- to-reach areas e.g. in other planetary systems. Nevertheless, the limited payload capacity of UAVs and the complexity in the 3D printing of large objects pose significant challenges. In this article we propose a novel chunk-based framework for distributed 3D printing using UAVs that sets the basis for a fully collaborative aerial 3D printing of challenging structures. The presented framework, through a novel proposed optimisation process, is able to divide the 3D model to be printed into small, manageable chunks and to assign them to a UAV for partial printing of the assigned chunk, in a fully autonomous approach. Thus, we establish the algorithms for chunk division, allocation, and printing, and we also introduce a novel algorithm that efficiently partitions the mesh into planar chunks, while accounting for the inter-connectivity constraints of the chunks. The efficiency of the proposed framework is demonstrated through multiple physics based simulations in Gazebo, where a CAD construction mesh is printed via multiple UAVs carrying materials whose volume is proportionate to a fraction of the total mesh volume.

Keywords

Cite

@article{arxiv.2308.11806,
  title  = {Flexible Multi-DoF Aerial 3D Printing Supported with Automated Optimal Chunking},
  author = {Marios-Nektarios Stamatopoulos and Avijit Banerjee and George Nikolakopoulos},
  journal= {arXiv preprint arXiv:2308.11806},
  year   = {2023}
}

Comments

This paper has been accepted for publication at 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)