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Aerial additive manufacturing with multiple autonomous robots
File | Description | Size | Format | |
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nature_accepted.pdf | Accepted version | 12.74 MB | Adobe PDF | View/Open |
Title: | Aerial additive manufacturing with multiple autonomous robots |
Authors: | Zhang, K Chermprayong, P Xiao, F Tzoumanikas, D Dams, B Kay, S Kocer, BB Burns, A Orr, L Choi, C Darekar, DD Li, W Hirschmann, S Soana, V Ngah, SA Sareh, S Choubey, A Margheri, L Pawar, V Ball, RJ Williams, C Shepherd, P Leutenegger, S Stuart-Smith, R Kovac, M |
Item Type: | Journal Article |
Abstract: | Additive manufacturing methods 1–4 using static and mobile robots are being developed for both on-site construction 5–8 and off-site prefabrication 9, 10. Here we introduce a new method of additive manufacturing, referred to as Aerial Additive Manufacturing (Aerial-AM), that utilizes a team of aerial robots inspired by natural builders 11 such as wasps who use collective building methods 12, 13. We present a scalable multi-robot 3D printing and path planning framework that enables robot tasks and population size to be adapted to variations in print geometry throughout a building mission. The multi-robot manufacturing framework allows for autonomous 3D printing under human supervision, real-time assessment of printed geometry and robot behavioural adaptation. To validate autonomous Aerial-AM based on the framework, we develop BuilDrones for depositing materials during flight and ScanDrones for measuring print quality, and integrate a generic real-time model-predictive-control scheme with the Aerial-AM robots. In addition, we integrate a dynamically self-aligning delta manipulator with the BuilDrone to further improve manufacturing accuracy to 5mm for printing geometry with precise trajectory requirements, and develop four cementitious-polymeric composite mixtures suitable for continuous material deposition. We demonstrate proof-of-concept prints including a cylinder of 2.05m with a rapid curing insulation foam material and a cylinder of 0.18m with strutural pseudoplastic cementitious material, a light-trail virtual print of a dome-like geometry, and multi-robot simulations. Aerial-AM allows manufacturing in-flight 2 and offers future possibilities for building in unbounded, at height, or hard to access locations. |
Issue Date: | 21-Sep-2022 |
Date of Acceptance: | 6-Jul-2022 |
URI: | http://hdl.handle.net/10044/1/99674 |
ISSN: | 0028-0836 |
Publisher: | Nature Research |
Start Page: | 709 |
End Page: | 717 |
Journal / Book Title: | Nature |
Volume: | 609 |
Copyright Statement: | © The Author(s), under exclusive licence to Springer Nature Limited 2022. The final publication is available at Springer via https://doi.org/10.1038/s41586-022-04988-4 |
Sponsor/Funder: | EPSRC Engineering & Physical Science Research Council (E Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (E Engineering & Physical Science Research Council (E Commission of the European Communities The Royal Society Engineering and Physical Sciences Research Council Engineering & Physical Science Research Council (E Engineering & Physical Science Research Council (E EPSRC Engineering & Physical Science Research Council (E Engineering & Physical Science Research Council (E |
Funder's Grant Number: | EP/N018494/1 EP/K503733/1 EP/K503381/1 EP/K030760/1 EP/N018494/1 EP/R511547/1 EP/R026173/1 810321 RSWF/R1/180003 EP/R009953/1 900001087270 EP/V502354/1 EP/S031464/1 Stream B - EP/W001136/1 EP/R026173/1 - Stream A |
Keywords: | Humans Printing, Three-Dimensional Humans Printing, Three-Dimensional General Science & Technology |
Publication Status: | Published |
Online Publication Date: | 2022-09-22 |
Appears in Collections: | Aeronautics Faculty of Medicine Department of Brain Sciences Faculty of Engineering |