| id |
acadia20_320 |
| authors |
Fang, Zhihao; Wu, Yuning; Hassonjee, Ammar; Bidgoli, Ardavan; Cardoso-Llach PhD, Daniel |
| year |
2020 |
| title |
Towards a Distributed, Robotically Assisted Construction Framework |
| source |
ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 320-329. |
| doi |
https://doi.org/10.52842/conf.acadia.2020.1.320
|
| summary |
In this paper we document progress towards an architectural framework for adaptive and distributed robotically assisted construction. Drawing from state-of-the-art reinforcement learning techniques, our framework allows for a variable number of robots to adaptively execute simple construction tasks. The paper describes the framework, demonstrates its potential through simulations of pick-and-place and spray-coating construction tasks conducted by a fleet of drones, and outlines a proof-of-concept experiment. With these elements the paper contributes to current research in architectural and construction robotics, particularly to efforts towards more adaptive and hybrid human-machine construction ecosystems. The code is available at: https://github.com/c0deLab/RAiC |
| series |
ACADIA |
| type |
paper |
| email |
zhihaof@alumni.cmu.edu |
| full text |
 file.pdf (1,885,304 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/10/22 12:06 |
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