Leveraging Building Material as Part of the In-Plane Robotic Kinematic System for Collective Construction.
architecture
co-design strategy
collective construction
construction robotics
task and motion planning
Journal
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
ISSN: 2198-3844
Titre abrégé: Adv Sci (Weinh)
Pays: Germany
ID NLM: 101664569
Informations de publication
Date de publication:
08 2022
08 2022
Historique:
revised:
13
05
2022
received:
16
03
2022
pubmed:
28
6
2022
medline:
27
8
2022
entrez:
27
6
2022
Statut:
ppublish
Résumé
Although collective robotic construction systems are beginning to showcase how multi-robot systems can contribute to building construction by efficiently building low-cost, sustainable structures, the majority of research utilizes non-structural or highly customized materials. A modular collective robotic construction system based on a robotic actuator, which leverages timber struts for the assembly of architectural artifacts as well as part of the robot body for locomotion is presented. The system is co-designed for in-plane assembly from an architectural, robotic, and computer science perspective in order to integrate the various hardware and software constraints into a single workflow. The system is tested using five representative physical scenarios. These proof-of-concept demonstrations showcase three tasks required for construction assembly: the ability of the system to locomote, dynamically change the topology of connecting robotic actuators and timber struts, and collaborate to transport timber struts. As such, the groundwork for a future autonomous collective robotic construction system that could address collective construction assembly and even further increase the flexibility of on-site construction robots through its modularity is laid.
Identifiants
pubmed: 35758558
doi: 10.1002/advs.202201524
pmc: PMC9404414
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2201524Subventions
Organisme : Deutsche Forschungsgemeinschaft
ID : EXC 2120/1-390831618
Informations de copyright
© 2022 The Authors. Advanced Science published by Wiley-VCH GmbH.
Références
Sci Robot. 2019 Mar 13;4(28):
pubmed: 33137745
Sci Robot. 2018 Sep 26;3(22):
pubmed: 33141757
Adv Sci (Weinh). 2022 Aug;9(24):e2201524
pubmed: 35758558