| id |
acadia23_v2_72 |
| authors |
Hosmer, Tyson; Mutis, Sergio; Hughes, Eric; He, Ziming; Siedler, Philipp; Gheorghiu, Octavian; Erdinçer, Bariº |
| year |
2023 |
| title |
Autonomous Collaborative: Robotic Reconfiguration with Deep Multi-Agent Reinforcement Learning (ACRR+DMARL) |
| source |
ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 72-90. |
| summary |
To address the unprecedented challenges of the global climate and housing crises, requires a radical change in the way we conceive, plan, and construct buildings, from static continuous objects to adaptive eco-systems of reconfigurable parts. Living systems in nature demonstrate extraordinary scalable efficiencies in adaptive construction with simple flexible parts made from sustainable materials. The interdisciplinary field of collec- tive robotic construction (CRC) inspired by natural builders has begun to demonstrate potential for scalable, adaptive, resilient, and low-cost solutions for building construc- tion with simple robots. Yet, to explore the opportunities inspired by natural systems, CRC systems must be developed utilizing artificial intelligence for collaborative and adaptive construction, which has yet to be explored. Autonomous Collaborative Robotic Reconfiguration (ACRR) is a robotic material system with an adaptive lifecycle trained with deep, multi-agent reinforcement learning (DMARL) for collaborative reconfigura- tion. Autonomous Collaborative Robotic Reconfiguration is implemented through three interrelated components codesigned in relation to each other: 1) a reconfigurable robotic material system; 2) a cyber-physical simulation, sensing, and control system; and 3) a framework for collaborative robotic intelligence with DMARL. The integration of the CRC system with bidirectional cyber-physical control and collaborative intelligence enables ACRR to operate as a scalable and adaptive architectural eco-system. It has the potential not only to transform how we design and build architecture, but to fundamentally change our relationship to the built environment moving from automated toward autonomous construction. |
| series |
ACADIA |
| type |
paper |
| email |
|
| full text |
 file.pdf (1,969,197 bytes) |
| references |
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| last changed |
2024/12/20 09:12 |
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